Remote AI training and data labeling jobs

Data scientists and analysts analyse datasets, build analytics reports and rebuild data-driven PowerPoint decks so AI learns to turn numbers into clear business insight. US, UK or Canada. 7 openings, contractor, $150–350/hour.

A full-time research post at micro1: design the benchmarks, rubrics and evaluation protocols that measure how AI agents handle enterprise finance work, and run original research on financial reasoning. Advanced degree in finance or economics required, PhD strongly preferred. Base salary $200,000–250,000 plus equity.

Write point-in-time forecasts on specific swing-state Senate, governor and statewide races, and grade AI political analyses against your own. For state pollsters, campaign analysts and political scientists with live-race experience. US or Canada residents, $150–250/hour.

A paid expert conversation for engineers who build and run LLM agents in production: a short AI screening interview (no coding), then, if selected, a 30-minute live call on agent reliability, evaluation and internal adoption, paid $100–500 depending on depth of experience.

A full-time research post at micro1: design and own the benchmarks, clinical quality rubrics and validation protocols that measure AI medical reasoning and decision support, and research where models fail. Advanced healthcare degree (MD, DO, PhD, MPH, PharmD) and research experience required. Base salary $200,000–250,000 plus equity.

Hands-on ML researchers take on scoped, open-ended empirical problems: training image classifiers and generators from scratch, fine-tuning open-weight LLMs, adversarial robustness, compression under hard budgets, and multilingual pre-training. 3+ years of ML research (PhD counts). Remote hourly contract at $100–120/hour.

Author point-in-time election and political-risk forecasts, document calls on polling and win probabilities, and grade AI analyses. For senior national forecasters, campaign analytics leads, pollsters and political-risk analysts with 8+ years. Remote, $150–250/hour.

Map how an upcoming catalyst should ripple through suppliers, customers, competitors and substitutes, estimate direction and magnitude from primary filings, and grade AI analyses. For senior sector PMs and lead equity analysts with 8+ years. Remote, $150–250/hour.

Evaluate Neuron Kernel Interface (NKI) development tasks for a frontier AI lab: CUDA-to-NKI migration fidelity, Trainium performance optimisation and GPU-versus-Trainium numerical correctness. Requires 2+ years writing NKI kernels for Trainium or Inferentia2. US-only, $70–90/hour.

Evaluate GPU and accelerator kernel development tasks for a frontier AI lab: numerical correctness, benchmarking fairness, task scoping and compile or runtime validity across CUDA, Triton, NKI and Pallas. For US engineers with 3+ years of kernel work in at least two of those frameworks. $70–90/hour.

Grade AI-generated slides, spreadsheets and documents for real-world data science quality, flagging factual, visual and presentation errors in structured written feedback. Needs 5+ years at a top firm in the US, UK, Canada, Australia or New Zealand. $100–150/hour.

An expert-interview listing for engineers who have shipped production search, especially agentic search in the LLM era: a 25-minute conversational interview about relevance, evaluation and real trade-offs, with a possible paid 30-minute follow-up call at $200. No coding, no take-home. Listed at $80–150 per task.

Author executable scientific-computing problems in ecology, biochemistry and genetics for Sci Code, a new AI benchmark: source a paper, dataset or repo, write the prompt and grading criteria, and keep it only if frontier models mostly fail. PhD plus Python or R, Git and Docker. 6 weeks, 20+ hours a week, $70/hour.

A full-time research engineering role at micro1 building RL environments, reward functions, verifiers, synthetic data pipelines and automated evaluation systems. Base salary $200,000–300,000 plus equity and benefits, remote, one opening. Deep reinforcement learning experience required.

Build, tune and evaluate ML models in Python with MongoDB-backed data pipelines for a customer AI training project, and document every experiment. Remote contractor, $80–140/hour, 35 openings. scikit-learn, TensorFlow or PyTorch plus hands-on MongoDB is the core stack.

Build, break and verify real machine learning engineering tasks: model components, reproducible training and inference workflows, memory and throughput optimisation, numerical debugging. Output-based pay, 100 openings, global remote, roughly 15 hours a week at $100–150/hour.

Refine CRM data models, arbitrate conflicting operational policies and document why you ruled the way you did, and design revenue workflows that hold up under vertical regulation. Four years with your hands actually in the system is the bar; the ad states outright that management-only exposure does not count. Remote contractor work.

Build and document the production pipelines you'd work on during a normal week, alongside experts from two other disciplines, so the outputs can be turned into the tasks and rubrics that train frontier models. $140–200/hour for 40 hours a week from 14 September to 10 October 2026. You must be based in the UK with the right to work there.