Catalog updated: . Page 2 of 3; 42 listings in this area.
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Remote work is not confirmed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check micro1 country restrictions.
Experience
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Education
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Listed skills
python, llms, rag, aws
Job Title: AI/ML Engineer Job Type: Full-Time About Us: micro1 is the end-to-end human data infrastructure behind AGI. Our AI recruiter model is used by frontier AI labs and Fortune 10s to source, vet, and deploy PhDs and professors from the world’s top universities at scale. These experts are placed directly into the training loops of the most advanced AI systems, powering the breakthroughs that move models forward. Our data platform converts their expertise into high-signal training datasets, and our talent management tooling measures, routes, and improves performance at scale. Job Summary: Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to micro1’s proprietary AI infrastructure, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with…
ethos · Data analysis & BI, Other data science roles, Other business roles
Pay
80 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
Minimum not listed
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We're working with a leading foundational AI lab to find experienced business intelligence analysts who can help train their latest language model on professional document, spreadsheet, and slide deck tasks. We're looking for BI and data analytics professionals with 4+ years building dashboards, reporting pipelines, and data-driven business narratives to create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks across core workflows: executive KPI dashboards, monthly business performance decks, ad hoc SQL data pulls, data quality and validation checklists, metric definition glossaries, and self-serve reporting templates for stakeholders. Compensation: $80/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 building and maintaining BI dashboards, KPI reporting, and self-serve analytics for business stakeholders Fluency in SQL and at least one…
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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Named languages
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Listed skills
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.
Experience
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Education
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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…
afterquery · General software roles, Machine learning & AI
Pay
100–170 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
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Domain: Machine Learning / AI Experience: 6–10 years Education: PhD/Doctorate, or Master's with a strong research record 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…
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.
Experience
Minimum not listed
Education
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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…
afterquery · General software roles, Machine learning & AI
Pay
100–150 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Bachelor’s degree
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We're assembling a group of senior software and ML engineers to work on one of the hardest open problems in AI today: how well can frontier models reason about LLM inference systems, GPU-level performance optimization, and model-serving architecture? You'll help design evaluation scenarios, write reference solutions, and grade model outputs on real systems-engineering problems — the same class of problems you likely work on day-to-day. This is a research-and-evaluation role, not a traditional engineering job — you won't be shipping production code for us, you'll be defining what "correct" and "excellent" look like for AI models tackling the problems you already know deeply. Responsibilities: What You'll Do Design realistic technical scenarios and problem sets in LLM inference optimization, GPU kernel design, and systems performance engineering Required qualifications: Bachelor's degree or higher in Computer Science, Computer Engineering, Electrical Engineering, or a related field…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
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This is a remote, project-based role for Excel and spreadsheet modeling experts with deep proficiency in advanced Excel techniques and data analysis. You will complete tasks spanning complex spreadsheet builds, financial modeling, data cleaning, automation, and dashboard development. Work is over the next 2–3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 5–20 hours per week for the projects you accept. This position offers exceptional pay, exposure to real-world business and data problems, and a strong addition to your professional portfolio. Responsibilities: Build and maintain complex Excel models including financial models, forecasting tools, scenario analyses, and operational dashboards Design and implement advanced formulas, pivot tables, Power Query workflows, and VBA/macro automation Clean, transform, and structure large datasets for analysis and reporting Develop clear, visually polished Excel dashboards and reports for…
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.
Experience
Minimum not listed
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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…
mercor · General software roles, Machine learning & AI
Pay
70–250 per hour (currency unconfirmed)
Country
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
Experience
Minimum not listed
Education
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**About Mercor’s talent network** Join our Machine Learning Engineer 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 Machine Learning Engineering - 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 machine learning model development, Python & ML frameworks (PyTorch/TensorFlow), model deployment & MLOps - Strong communication skills -…
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility. Also check mercor country restrictions.
Experience
Minimum not listed
Education
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**About Mercor’s talent network** Join our Business Intelligence Analyst 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 Business Intelligence Analytics - 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 SQL & data querying, data visualization (Tableau/Power BI), data modeling & warehousing - Strong communication skills - Ability to…
afterquery · Data engineering, Other data science roles, Other engineering 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
Education
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This is a remote, project-based role for data engineering professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data engineering, data infrastructure, ETL development, or analytics engineering 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 data pipeline and infrastructure challenges, and an excellent opportunity to boost your resume. Responsibilities: Document technical solutions, data flows, and pipeline architectures Collaborate asynchronously on data integration and warehousing projects Build and deploy data infrastructure using cloud services and modern tools Troubleshoot and resolve data pipeline failures and performance issues Required qualifications: 1–3 years of professional experience in data engineering, ETL development, or…
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
Education
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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,…
Remote work is listed. Eligible countries: Bangladesh, India. All listed country and residence restrictions must be satisfied.
Experience
Minimum not listed
Education
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Named languages
English
Listed skills
image annotation, object detection, keypoints, english, polygons, segmentation, bounding boxes, annotation qa, computer vision, video annotation, computer vision annotation, annotation quality assurance qa, polygon annotation, semantic segmentation, instance segmentation, segmentation masks, keypoint annotation, pose estimation annotation, image classification, object tracking, video object tracking, attribute labeling, class labeling, annotation guidelines, edge case handling, data labeling, quality control, error analysis, attention to detail, consistency checking, written feedback, english proficiency, superannotate, labelbox, cvat, scale ai
In this hourly, remote contractor role, you will work as a Computer Vision QA Specialist to review image and video annotations for quality, accuracy, and guideline compliance. You will evaluate annotations such as bounding boxes, segmentation masks, polygons, keypoints, object classes, attributes, and video tracks, identifying missing, incorrect, inconsistent, or poorly placed annotations. You will also make corrections when required, provide clear feedback on quality issues, and communicate unclear cases to the project team. This role requires strong attention to detail, consistency, and the ability to carefully follow detailed computer vision annotation guidelines. 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. Your computer vision QA work directly helps improve the world’s premier AI models by ensuring that visual training data…
First found (posting date unknown): . 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
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Listed skills
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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
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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. 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 creating ML research evaluation problems and reference solutions involving experiment design, ablations, evaluation and model failure analysis. Requires a master's or PhD in computer science, statistics, mathematics or a related field; 3+ years of full-time ML research after the degree (postdoctoral work counts, PhD years do not); hands-on experiment design or evaluation; Python and a framework such as PyTorch or JAX; and at least 10 hours per week. Research publications or industry/university lab experience are preferred. Weekly Stripe payments. Deployment-focused ML engineers, data engineers and annotators 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. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Master’s degree
Named languages
Not listed
Listed skills
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Pay clarification: The page header and salary card advertise $140–$150/hr, but the Why Apply section says $70–$80/hr. Confirm the actual rate before accepting work. Domain: Machine Learning / AI Research Experience: 1+ years of hands-on ML research; no upper limit Education: Master's or PhD (in progress is fine, including current PhD candidates) You will design and validate tasks that measure what frontier AI models can actually do across machine learning. We are looking for people who write ML code and publish results, not for annotation or data-labelling experience. Task areas span: Language Models, Deep Learning, Reinforcement Learning, Vision & Generation, Robotics, ML Systems & Efficient ML, Optimization & Theory, Classical & Adaptive Learning, Time Series & Forecasting, Structured & Causal Reasoning, Trustworthy Learning, and AI for Science. Candidates who meet the requirements and provide the requested materials will be prioritised for review. As part of this process we…
First found (posting date unknown): . Listing checked: 2026-10-14T22:48:15.442Z. Latest source refresh: preserved.
Remote work is listed. Country eligibility unconfirmed; remote does not mean worldwide eligibility.
Experience
Minimum not listed
Education
Not listed
Named languages
Not listed
Listed skills
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Remote, asynchronous independent-contractor work creating realistic product-analytics problems and reference solutions covering experiments, metrics, retention and growth. Requires 3+ years of full-time data-scientist or product-analyst experience excluding internships and school, hands-on A/B test design or analysis, SQL, Python, applied statistics, clear written English, and at least 10 hours per week. A master's degree in a quantitative field and experience defining product metrics or modeling retention and lifetime value are preferred. Flexible hours with no maximum; weekly Stripe payments.
First found (posting date unknown): . Listing checked: 2026-10-14T22:48:15.442Z. Latest source refresh: preserved.