Catalog updated: . Page 4 of 6; 104 listings in this area.
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Remote work is not confirmed. Eligible countries: United States. All listed country and residence restrictions must be satisfied. Also check mercor country restrictions.
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**Join a leading AI lab's cutting-edge GenAI team to be at the core of the AI revolution, where your expertise fuels the development of the most advanced AI models.** ## 1\. Overview We are hiring a senior **biochemistry and life sciences domain expert** to work directly with a leading AI lab's research and program management teams, improving how frontier AI models reason about real life sciences research work. Your scientific expertise is the substance of this role. You will review the quality of life sciences knowledge work tasks, write the instruction specs and golden solutions that define what "correct" looks like, and build the benchmarks that show whether the model is genuinely improving. We are looking for a practicing specialist rather than a generalist. This is a full-time W-2 employment position with Cincinnatus LLC, with the opportunity to be placed at a leading AI lab as part of their extended workforce. You will be provisioned with client-issued accounts and equipment,…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery.** They're extending their platform into new areas of pharmaceutical development and are looking for hands-on preclinical R&D experts across drug modalities to help guide what they build. Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models. **In this role, you'll:** - Review technical materials and real-world R&D data in your area of expertise - Label, classify, and annotate scientific data and model outputs to improve model performance - Provide expert perspective on key scientific and development decisions (target/modality selection, optimization,…
ethos · Biology & life sciences, Other science roles
Pay
90 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Confirm work and payout eligibility in the Ethos terms.
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We're working with a leading foundational AI lab to find experienced biologists and environmental scientists who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for biology and environmental science professionals with 4+ years in ecological research, environmental consulting, or applied biology to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: environmental impact assessment reports, species habitat and biodiversity survey summaries, water and soil quality monitoring data sheets, regulatory permit and compliance submissions, field study methodology and sampling protocols, and conservation and remediation project proposals. Compensation: $90/hour Commitment: Flexible, 5-20 hours per week (or more if desired) Location: Fully remote, work on your own schedule Start date: ASAP Qualifications: 4+ years conducting environmental impact assessments, ecological…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**Mercor is partnering with a venture-backed AI lab building frontier AI platforms and physics-based foundation models for chemistry, materials science, and drug discovery.** They're extending their platform into new areas of pharmaceutical development and are looking for hands-on **ADC and/or bispecific** experts to help guide what they build. Are you a preclinical R&D scientist who has taken drug programs from the bench toward the clinic — and curious how AI is reshaping drug discovery? This is a hands-on role that blends your wet-lab and translational experience with a growing understanding of how scientific data trains the next generation of AI models. **In this role, you'll:** - Review technical materials and real-world R&D data across ADC and/or bispecific programs - Label, classify, and annotate scientific data and model outputs to improve model performance - Provide expert perspective on key scientific and development decisions (target/modality selection, optimization,…
ethos · Data analysis & BI, Other data science roles, Other science roles
Pay
150 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Confirm work and payout eligibility in the Ethos terms.
Experience
2 years minimum
Education
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data science, machine learning, technical documentation, ai evaluation
Review and assess data science documents for a leading foundational AI lab, judging whether their content and structure reflect real day-to-day data science practice. Requires 2+ years of experience as a data scientist or ML engineer, current hands-on familiarity with data science documentation, excellent written communication, and close attention to detail.
mercor · Machine learning & AI, Other science roles
Pay
100–120 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. ## Responsibilities - Train image classifiers and generative image models from scratch, and fine-tune open-weight language models. - Get the most out of limited data, compute, and model-size budgets. - Make models robust — to adversarial inputs and to adversarial conversations. - Compress models to meet hard size and latency constraints without sacrificing accuracy. - Diagnose and resolve training issues. ## Requirements We are looking for candidates with strong expertise in one or more of the following areas: **Adversarial Robustness** Experience with: - Adversarial training of image classifiers (e.g. PGD-based training, TRADES). - Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking…
mercor · Biology & life sciences, Other healthcare roles
Pay
150–175 per hour (currency unconfirmed)
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Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking an epidemiologist for a paid pilot, with the potential to continue as the work scales. **Responsibilities** - Create and critique rubrics that analyze commercial drugs and drug-development programs - Size the patient population for a given drug or indication (prevalence, incidence, diagnosed → treated → addressable) - Judge whether a patient-population estimate is sound and well-sourced, and flag over- or under-counting - Apply this across the pilot's set of drugs and indications **Requirements** - US-based epidemiologist - Familiarity with biotech/pharma development programs - Experience turning real-world data (claims, EHR, registries) into patient funnels - 5+ years practising epidemiology (graduate degree in epidemiology, biostatistics, or public health) **Engagement Details** -…
mercor · Biology & life sciences, Investing & banking
Pay
120–200 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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Mercor is partnering with a biotech and pharma research team on expert human-evaluation work — creating and critiquing rubrics that analyze commercial drugs and drug-development programs. We're seeking a biotech investment analyst (specialist-fund background) for a paid pilot, with the potential to continue as the work scales. **Responsibilities** - Create and critique rubrics that analyze commercial drugs and drug-development programs - Provide overall company and asset assessment — mechanism, clinical data, competitive position, and value drivers - Judge the quality of an investment-style thesis and flag weak, overconfident, or missing assumptions - Apply your assessment across the pilot's set of companies (~5–10) **Requirements** - US-based biotech / healthcare investment analyst with a specialist-fund background - Familiarity with biotech/pharma development programs - Able to assess a drug asset and the company behind it end-to-end - 5+ years evaluating biotech/pharma companies…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
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Doctorate / PhD
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Domain: Science (Math / Physics / Chemistry / Biology) Experience: 10+ years Education: PhD/Doctorate required Candidates who meet the requirements and provide the requested materials will be prioritized for review. As part of this process, we conduct thorough background checks. Please apply only if you meet these requirements — candidates who meet fewer than 70% of the stated qualifications may be flagged for misrepresenting their professional experience, which could affect eligibility for future project staffing. Responsibilities: Design realistic technical scenarios and problem sets within your track Author expert-level reference solutions and grading rubrics Evaluate AI-generated outputs for correctness, depth, and domain judgment Required qualifications: Currently or recently active in the field — hands-on, not purely academic-adjacent Strong written communication — you'll be authoring technical explanations and structured feedback, not just doing the work itself Comfortable…
Remote work is listed. Eligible countries: United States. Required residence: United States. All listed country and residence restrictions must be satisfied. Also check mercor country restrictions.
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Mercor is seeking experimental scientists and engineers across inorganic synthesis, characterization, superconductors, and semiconductors (including advanced packaging) to support a frontier AI research lab building models for materials science and the physical sciences. This is hands-on, expert-level work: you'll apply deep, specialized knowledge to generate, structure, and evaluate the scientific data these models learn from — and your input will directly shape how advanced models reason about materials, devices, and processes. **Key Responsibilities:** - Contribute domain expertise across synthesis, characterization, fabrication, and device physics to build high-quality training and evaluation data. - Review and evaluate AI-generated scientific reasoning, catching errors and improving technical accuracy. - Design and solve challenging, expert-level problems in your area of specialization. - Rate and rank model outputs against defined scientific criteria, with clear written…
mercor · Data analysis & BI, Other data science roles, Other science roles
Pay
100–150 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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Mercor is building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work. There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available. ### 2\. Potential Responsibilities Future projects may involve: - Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks - Evaluating AI-generated or human-created work against established criteria - Providing detailed written justifications for evaluations and scores - Applying consistent, evidence-based judgment so that assessments are reproducible and defensible - Incorporating structured feedback from senior reviewers…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
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Master’s degree
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This is a remote, project-based role for a PhD student or strong Masters-level researcher with hands-on CRISPR and gene editing experience to contribute to a short-term AI safety evaluation project. Ideal candidates have familiarity with dual-use research of concern (DURC) or biosecurity. Work is over the next week, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge problems, and a strong addition to your research portfolio. Responsibilities: Evaluate and annotate AI-generated responses to CRISPR and gene editing-related prompts for scientific accuracy, safety relevance, and potential dual-use risk Apply domain expertise to assess whether AI outputs reflect appropriate handling of sensitive biological topics Flag responses that may constitute biosecurity concerns or misrepresent gene editing techniques Provide structured written…
afterquery · Machine learning & AI, Biology & life sciences
Pay
150–200 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
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This is a remote, project-based role for machine learning professionals with deep expertise in bioinformatics. You will complete tasks at the intersection of ML and biological data analysis — including model development, pipeline construction, and research tasks applied to real genomic, transcriptomic, or multi-omics datasets. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge biotech problems, and a strong addition to your research portfolio. Responsibilities: Apply machine learning techniques to biological datasets, including genomic, transcriptomic, proteomic, or multi-omics data Build, train, and evaluate ML models tailored to bioinformatics applications such as variant calling, gene expression analysis, or pathway modeling Develop predictive models using supervised and unsupervised learning…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
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This is a remote, project-based role for machine learning professionals with deep expertise in computational materials science. You will complete tasks at the intersection of ML and materials research — including model development, simulation data analysis, and research tasks applied to real atomistic, electronic, or structural materials datasets. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to cutting-edge materials research problems, and a strong addition to your research portfolio. Responsibilities: Apply machine learning techniques to materials science problems, including property prediction, materials discovery, and structure-property relationship modeling Build, train, and evaluate ML models trained on simulation data such as DFT, molecular dynamics, or Monte Carlo outputs Develop predictive models using…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**About Mercor’s talent network** Join our Physical Scientist Expert Network to connect with leading AI labs and companies seeking your expertise. **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Physical Sciences - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. **What we're looking for:** - Professional experience in experimental research methods, quantitative data analysis, scientific reporting - Strong communication skills - Ability to work independently in a remote…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**About Mercor’s talent network** Join our Chemist Expert Network to connect with leading AI labs and companies seeking your expertise. **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Chemistry - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. **What we're looking for:** - Professional experience in analytical chemistry techniques, laboratory experimentation, chemical data analysis - Strong communication skills - Ability to work independently in a remote environment **How…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**About Mercor’s talent network** Join our Biologist Expert Network to connect with leading AI labs and companies seeking your expertise. **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Biology - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. **What we're looking for:** - Professional experience in molecular & cellular biology techniques, experimental design & lab research, data analysis in life sciences - Strong communication skills - Ability to work independently in a…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**About Mercor’s talent network** Join our Mathematician Expert Network to connect with leading AI labs and companies seeking your expertise. **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Mathematics - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. **What we're looking for:** - Professional experience in statistical analysis & modeling, mathematical proof & theory, computational mathematics - Strong communication skills - Ability to work independently in a remote…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
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**About Mercor’s talent network** Join our Physicist Expert Network to connect with leading AI labs and companies seeking your expertise. **This is an open application for future contract opportunities that match your background and interests.** Once you complete your profile and pass our AI interview, you'll be eligible for relevant projects as they become available. We match experts to opportunities on a rolling basis. **About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Physics - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with typical commitments ranging from 15-30 hours per week. **What we're looking for:** - Professional experience in theoretical & computational modeling, experimental design & data analysis, scientific programming - Strong communication skills - Ability to work independently in a remote…
afterquery · Machine learning & AI, Other data science roles, Other science roles
Pay
60–100 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
1 years minimum
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This is a remote, project-based role for data scientists and machine learning professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data science, machine learning engineering, AI research, or analytics roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers highly competitive pay, exposure to real-world ML/data problems, and an excellent opportunity to boost your resume. Responsibilities: Assist in building, training, and evaluating machine learning models for various business applications Develop predictive models using supervised and unsupervised learning techniques Optimize model performance through hyperparameter tuning and feature engineering Document methodologies, model assumptions, and technical approaches Required qualifications: 1–3 years of professional experience in data science,…