Catalog updated: . Page 5 of 6; 104 listings in this area.
Catalog order, without personalized ranking. Compare requirements with the person’s stated experience, education, skills, working languages and country. Unknown requirements are not proof of eligibility. Follow the actual page links below for more roles.
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Doctorate / PhD
Named languages
Not listed
Listed skills
Not listed
AfterQuery is seeking a Chemistry PhD Expert to help create and evaluate challenging chemistry problems that train and refine our AI models. In this flexible, remote role, you will create authentic, thought-provoking prompts based on real-world chemical principles and apply your deep expertise to assess model responses. You'll play a vital role in bridging the gap between advanced chemical research and next-generation AI capabilities while working on project-based assignments with flexible hours. Responsibilities: Provide detailed feedback to improve both question quality and the AI's understanding of complex chemical concepts. Develop and refine comprehensive Graduate-level / PhD level chemistry questions and solution that require extensive knowledge in Chemistry Required qualifications: A minimum experience of 2 years in academic research, industrial R&D, or applied chemistry settings. Exceptional analytical, experimental design, and critical writing skills, with the ability to…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
2 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
Not listed
AfterQuery is searching for Physics PhD Experts to craft, review, and enhance physics-related reasoning problems to advance our AI labs. In this remote, flexible position, you will develop high-quality, real-world physics questions and verify the logical consistency of model responses. Your advanced expertise in physics will be crucial for ensuring that our AI systems accurately interpret and solve complex physics challenges while adhering to current scientific principles. Responsibilities: Design well-structured, undergraduate to advanced-level physics questions that challenge reasoning and conceptual understanding Validate solution accuracy and refine problem difficulty, ensuring each prompt promotes critical thinking over mere computation Analyze model responses, offering detailed feedback to improve clarity and scientific rigor in test items Required qualifications: At least 2 years of experience in academic research, teaching, or applied physics environments Strong analytical…
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
culture, research methods, cultural anthropology, anthropology, ethnography, trainer feedback, archaeology, ai training, llm evaluation, human evolution, quality assurance, rubric based evaluation, content review, cultural sensitivity review, cultural relativism, anthropological theory, ethnographic methods, participant observation, fieldwork, cultural analysis, academic writing, research methodology, qualitative research, archaeological methods, material culture studies, museum studies, museum ethics, heritage management, indigenous studies, linguistic anthropology, kinship studies, religion and ritual studies, migration studies, colonialism postcolonial studies, ethics in research, bias detection, terminology standardization, style guide development, ai data annotation
In this hourly, remote contractor role, you will work as an Anthropology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across anthropology-focused AI training projects. You will review AI-generated anthropology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for anthropological accuracy, cultural context, theory application, ethnographic sensitivity, methodological rigor, ethical awareness, bias sensitivity, terminology quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong anthropology expertise, strong English communication skills,…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: Bangladesh, Brazil, Bhutan, Germany, Indonesia, India, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, East Timor, United States, Vietnam. All listed country and residence restrictions must be satisfied.
Experience
4 years minimum
Education
Bachelor’s degree
Named languages
Not listed
Listed skills
astronomy, astrophysics, planetary science, space physics, heliophysics, cosmology, observational astronomy, mission operations, mission science, spacecraft instrumentation, classical mechanics, electromagnetism, radiative transfer, stellar astrophysics, galactic astronomy, orbital mechanics, celestial coordinate systems, time standards utc tt tdb, statistical analysis, uncertainty quantification, error propagation, scientific modeling, data analysis, python, numpy, scipy, data pipelines, astronomical catalog queries, photometry, spectroscopy
If you are an astronomer or space sciences expert who thrives on technical precision, quantitative reasoning, and physics-based problem solving, this is a unique opportunity to contribute directly to how the next generation of AI systems understand and communicate complex space science concepts. We are looking for specialists who can evaluate, challenge, and refine advanced language models on domain-specific topics. Your expertise will directly help improve the world’s premier AI models—and play an important role in shaping the future of AI. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
trainer feedback, stellar evolution, observational astronomy, physics review, astronomy, astrophysics, llm evaluation, ai training, cosmology, scientific reasoning, celestial mechanics, galaxy formation, black holes, planetary science, electromagnetic radiation, spectroscopy, photometry, telescope data analysis, astronomical data analysis, scientific uncertainty analysis, python, jupyter notebook, numpy, pandas, matplotlib, latex, scientific visualization, simulations, peer review, rubric based evaluation, quality assurance qa, scientific writing, data annotation, remote team leadership
In this hourly, remote contractor role, you will work as an Astronomy / Astrophysics Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across astronomy and astrophysics AI training projects. You will review AI-generated astronomy/astrophysics content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, physical reasoning, mathematical correctness, terminology quality, unit handling, observational context, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong astronomy/astrophysics expertise, strong English communication skills,…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: Austria, Australia, Belgium, Canada, Switzerland, Germany, Denmark, Spain, Finland, France, United Kingdom, Gibraltar, Greece, Ireland, Iceland, Italy, Liechtenstein, Luxembourg, Monaco, Malta, Netherlands, Norway, New Zealand, Portugal, Sweden, San Marino, United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
English
Listed skills
molecular biology, biochemistry, english, fact checking, lab methods, scientific review, ai training, protein structure, metabolism, enzyme kinetics, protein biochemistry, enzymology, metabolic pathways, cell signaling, nucleic acid biochemistry, carbohydrate biochemistry, lipid biochemistry, recombinant protein expression, protein purification, sds page, western blotting, elisa, pcr, qpcr, dna rna extraction, molecular cloning, gel electrophoresis, chromatography hplc fplc, mass spectrometry, spectrophotometry, cell culture, microscopy, experimental design, data analysis, statistical analysis, scientific writing, peer review, quality assurance qa
In this hourly, remote contractor role, you will work as a Biochemistry Expert (SME) to review AI-generated biochemistry content and/or create high-quality biochemistry reference content, evaluating scientific accuracy, reasoning quality, terminology, and step-by-step explanations while providing precise written feedback. You will assess outputs for correctness, clarity, biochemical reasoning, calculation accuracy where relevant, experimental context, safety awareness, and adherence to the prompt; identify errors in molecular mechanisms, pathways, enzyme kinetics, protein structure, metabolism, genetics, lab methods, and scientific interpretation; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in biochemistry explanation; and rate and compare multiple AI responses based on correctness and overall quality. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering…
First found (posting date unknown): . Latest source refresh: updated.
Remote work is listed. Eligible countries: Bangladesh, Brazil, Bhutan, Germany, Indonesia, India, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, East Timor, United States, Vietnam. All listed country and residence restrictions must be satisfied.
We’re seeking biologists to join our AI training project. In this role, you will review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check biological information; write high-quality biological explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on biological correctness and reasoning quality. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network. Requirements: You hold a MS or PhD in Biology, Molecular Biology, Biochemistry,…
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In this hourly, remote contractor role, you will work as a Biology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across biology AI training projects. You will review AI-generated biology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, terminology correctness, experimental logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong biology expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Master’s degree
Named languages
Not listed
Listed skills
Not listed
Remote, asynchronous independent-contractor work creating and solving realistic biostatistics evaluation problems for AI labs, including trial design, survival analysis, dose response and genetic studies. Requires a master's or PhD in biostatistics, statistics, epidemiology, statistical genetics or pharmacometrics; 3+ years of full-time statistical work (excluding school and internships); hands-on clinical, epidemiological or genetic data experience; R, SAS or Python; and clear written English. Minimum 10 hours per week, with no maximum. Weekly pay through Stripe. Clinicians or wet-lab scientists without a statistical role are not the target applicants.
First found (posting date unknown): . Listing checked: 2026-10-14T22:48:15.442Z. Latest source refresh: preserved.
Remote work is listed. Eligible countries: Brazil, Germany, India, United States. All listed country and residence restrictions must be satisfied.
Experience
Minimum not listed
Education
Master’s degree
Named languages
English
Listed skills
research, teaching, reasoning skills, chemistry, english, inorganic chemistry, analytical chemistry, organic chemistry, medicinal chemistry, writing, physical chemistry, quantum chemistry, chemical kinetics, thermodynamics, reaction mechanisms, stoichiometry, spectroscopy, nmr spectroscopy, mass spectrometry ms, infrared spectroscopy ir, uv vis spectroscopy, chromatography hplc gc, titration, method development, data analysis, scientific writing, technical editing, literature review, fact checking, peer review, research design, experimental design, statistical analysis, python, jupyter notebook, machine learning, ai model evaluation, data labeling
We’re seeking chemists to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check chemical information across; write high-quality chemical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on chemical correctness and reasoning quality. Requirements: You hold an MS or PhD in Chemistry or a related field in a high ranking university. Confident in chemical reactions and stoichiometry, organic mechanisms, analytical methods, and physical/quantum chemistry. Expert at fact-checking information using public sources across multiple domains. You communicate…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
chemical reasoning, reaction mechanisms, scientific review, trainer feedback, ai training, stoichiometry, documentation, llm evaluation, chemistry qa, chemistry, quality assurance qa, scientific writing, technical editing, analytical chemistry, organic chemistry, inorganic chemistry, physical chemistry, biochemistry, thermodynamics, chemical kinetics, chemical equilibrium, spectroscopy, chromatography hplc gc, titration, mass spectrometry, nmr spectroscopy, uv vis spectroscopy, chemical safety, safety data sheets sds, chemical nomenclature iupac, laboratory documentation, method validation, data annotation, ai training data qa, large language models llms, rubric based evaluation, prompt evaluation, google sheets
In this hourly, remote contractor role, you will work as a Chemistry Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across chemistry AI training projects. You will review AI-generated chemistry content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, chemical reasoning, calculation correctness, reaction logic, unit consistency, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong chemistry expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: Germany, India, United States. All listed country and residence restrictions must be satisfied.
Experience
5 years minimum
Education
Not listed
Named languages
English
Listed skills
python, statistics, sql, research, english, scikit learn, numpy, model evaluation, machine learning, data science, pandas, scikit learn, applied probability, experimental design, a b testing, hypothesis testing, causal inference, supervised learning, unsupervised learning, feature engineering, cross validation, hyperparameter tuning, model deployment, mlops, data pipelines, data warehousing, data lakes, etl, data visualization, tableau, power bi, matplotlib, seaborn, communication skills
As a Data Scientist, you will work remotely on an hourly paid basis to review AI-generated analytical reasoning, code, and model outputs, as well as generate high-quality reference solutions and explanations for complex data problems. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in methodology, modeling choices, or statistical reasoning; fact-check quantitative claims; write clear, step-by-step explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on correctness and reasoning quality. This is a fully remote, hourly paid contractor role with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s largest AI companies and foundation model labs. Your data science expertise will directly contribute to improving the world’s premier AI models used across products and industries. Important: There is…
Posting and first-found dates unavailable. Latest source refresh: updated.
afterquery · Data analysis & BI, Other data science roles, Other science roles
Pay
115 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Master’s degree
Named languages
Not listed
Listed skills
Not listed
Remote, asynchronous contract work authoring and solving data-science evaluation problems drawn from experiments, metrics, forecasting, segmentation and predictive modeling. Requires a master's or PhD in a quantitative field, 3+ years of full-time data-scientist experience excluding school and internships, SQL and Python or R, hands-on statistics, and at least 10 hours per week. Product, growth or marketplace experience and experiment design are preferred. Weekly pay through Stripe. Intended for practicing data scientists with modeling and statistics experience, rather than data engineers, deployment-focused ML engineers or reporting-only analysts.
First found (posting date unknown): . Listing checked: 2026-10-14T22:48:15.442Z. Latest source refresh: preserved.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
model evaluation, data science, trainer feedback, sql, python, statistics, data science qa, ai training, machine learning, llm evaluation, r, pandas, numpy, scikit learn, apache spark, jupyter notebook, matplotlib, git, github, mlflow, statistical modeling, probability statistics, exploratory data analysis eda, data cleaning, feature engineering, experiment design, a b testing, regression, classification, clustering, cross validation, data engineering, dashboarding, cloud platforms aws gcp azure, data annotation, team leadership
In this hourly, remote contractor role, you will work as a Data Scientist Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across data science AI training projects. You will review AI-generated data science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure contributors follow expected quality standards. You will assess work for statistical accuracy, data reasoning, model-selection quality, code correctness, reproducibility, metric interpretation, business-context awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
geoscience, ai training, trainer feedback, earth sciences, llm evaluation, geology, climate systems, plate tectonics, mineralogy, scientific review, quality assurance, environmental science, geospatial analysis, gis, remote sensing, geologic mapping, field methods, stratigraphy, structural geology, geomorphology, hydrology, geochemistry, core logging, well log interpretation, natural hazards, climate science, earth system science, data interpretation, scientific writing, technical editing, rubric based review, academic peer review, data annotation, python
In this hourly, remote contractor role, you will work as an Earth Sciences / Geology Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across geology and earth science AI training projects. You will review AI-generated earth science/geology content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, geologic reasoning, terminology quality, spatial and temporal context, unit handling, data interpretation, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong earth science/geology expertise, strong English communication skills,…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: India. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
llm evaluation, climate systems, sustainability, ai training, biology, environmental science, scientific review, ecology, trainer feedback, life sciences, life sciences research, biodiversity, conservation biology, climate change, environmental impact assessment eia, ecosystems, evolutionary biology, genetics, physiology, pollution monitoring, field sampling, ecological surveys, laboratory techniques, gis geographic information systems, remote sensing, spatial analysis, statistics, r programming, python, data analysis, scientific visualization, climate environmental datasets, literature review, scientific writing, peer review, science communication, team leadership, project management
In this hourly, remote contractor role, you will work as a Life & Environmental Sciences Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across biology, ecology, environmental science, and life science AI training projects. You will review AI-generated life/environmental science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, biological reasoning, ecological context, environmental systems thinking, terminology quality, data interpretation, safety awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong…
First found (posting date unknown): . Latest source refresh: updated.
Remote work is listed. Eligible countries: Austria, Australia, Belgium, Canada, Switzerland, Germany, Denmark, Spain, Finland, France, United Kingdom, Gibraltar, Greece, Ireland, Iceland, Italy, Liechtenstein, Luxembourg, Monaco, Malta, Netherlands, Norway, New Zealand, Portugal, Sweden, San Marino, United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
English
Listed skills
materials engineering, scientific review, ai training, phase diagrams, composites, ceramics, polymers, metallurgy, english, materials science, polymer science, composite materials, nanomaterials, structure property relationships, crystallography, heat treatment, mechanical behavior of materials, corrosion engineering, failure analysis, materials characterization, scanning electron microscopy sem, transmission electron microscopy tem, x ray diffraction xrd, atomic force microscopy afm, differential scanning calorimetry dsc, thermogravimetric analysis tga, mechanical testing, metallography, microstructure analysis, finite element analysis fea, materials modeling, calphad, technical writing, peer review, quality assurance qa
In this hourly, remote contractor role, you will work as a Materials Science Expert (SME) to review AI-generated materials science content and/or create high-quality materials science reference content, evaluating scientific accuracy, engineering reasoning, terminology, and step-by-step explanations while providing precise written feedback. You will assess outputs for correctness, clarity, physical plausibility, unit consistency, microstructure-property reasoning, experimental context, and adherence to the prompt; identify errors in crystal structure, phase diagrams, mechanical properties, polymers, ceramics, metals, composites, nanomaterials, processing methods, and characterization; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in materials science explanation; and rate and compare multiple AI responses based on correctness and overall quality. This role is with SME Careers, a fast-growing AI Data Services company and…
First found (posting date unknown): . Latest source refresh: updated.
Remote work is listed. Eligible countries: India, United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
documentation, technical review, mathematical reasoning, mathematics, trainer feedback, ai training, math qa, problem solving, proof review, llm evaluation, mathematics content qa, quality assurance, rubric based evaluation, mathematical proofreading, proof verification, technical writing, curriculum development, assessment design, problem writing, algebra, geometry, trigonometry, calculus, linear algebra, discrete mathematics, probability, statistics, number theory, combinatorics, differential equations, mathematical proofs, latex, python, matlab, r, wolfram mathematica, wolframalpha, geogebra, desmos, google sheets
In this hourly, remote contractor role, you will work as a Mathematics Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across mathematics AI training projects. You will review AI-generated math content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for mathematical accuracy, logical reasoning, calculation correctness, proof validity, notation quality, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong mathematics expertise, strong English communication skills, excellent attention to detail, structured communication, and the ability to manage quality…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: Bangladesh, Brazil, Bhutan, Germany, Indonesia, India, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, East Timor, United States, Vietnam. All listed country and residence restrictions must be satisfied.
Experience
Minimum not listed
Education
Master’s degree
Named languages
English
Listed skills
discrete mathematics, reasoning, problem solving, pure mathematics, applied mathematics, fact checking, advanced mathematics, english, mathematics, business mathematics, mathematical proofs, statistical modeling, probability theory, mathematical optimization, numerical analysis, linear algebra, real analysis, abstract algebra, calculus, differential equations, stochastic processes, combinatorics, graph theory, machine learning basics, bayesian statistics, regression analysis, time series analysis, monte carlo methods, operations research, convex optimization, mathematical modeling, research methods, analytical writing, technical writing, python, latex
SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate, is seeking mathematicians to join our AI training project. In this role, you will review AI-generated responses, evaluate the reasoning quality and step-by-step problem-solving, and provide expert feedback that helps models produce answers that are accurate, logical, and clearly explained. You will assess solutions for accuracy, clarity, and adherence to the prompt; identify errors in calculations, methodology, or conceptual understanding; fact-check quantitative information across; write high-quality mathematical explanations and model solutions that demonstrate correct methods; and rate and compare multiple AI responses based on mathematical correctness and reasoning quality. Important: There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects…
Posting and first-found dates unavailable. Latest source refresh: updated.
Remote work is listed. Eligible countries: United States. All listed country and residence restrictions must be satisfied.
Experience
3 years minimum
Education
Not listed
Named languages
Not listed
Listed skills
llm evaluation, brain science, cognitive science, neuroscience, trainer feedback, scientific review, research methods, neurobiology, cognitive psychology, ai training, quality assurance qa, rubric based evaluation, neuroanatomy, neurophysiology, brain behavior relationships, experimental design, behavioral experiments, eeg, fmri, neuropsychological assessment, computational neuroscience, computational modeling, statistics, data analysis, python, r, matlab, literature review, scientific writing, science communication, content moderation, fact checking, pseudoscience detection, ai data annotation
In this hourly, remote contractor role, you will work as a Neuroscience / Cognitive Science Quality Assurance Lead (QAL) to oversee quality, consistency, and trainer performance across neuroscience and cognitive science AI training projects. You will review AI-generated neuroscience/cognitive science content and trainer/QA work, evaluate output quality against project guidelines, provide precise written feedback, and ensure that all contributors follow the expected quality standards. You will assess work for scientific accuracy, conceptual precision, research literacy, experimental-method understanding, brain-behavior reasoning, statistical caution, ethical awareness, clarity, formatting, instruction-following, and adherence to project-specific rubrics. You will spot recurring quality issues, communicate updates to trainers and QAs, support onboarding, maintain documentation, and help activate contributors who are not working consistently. This role requires strong…
Posting and first-found dates unavailable. Latest source refresh: updated.