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Remote AI training and data labeling jobs

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Field: Software & IT
Level: Senior

14 open roles matching these filters

  • Write and review Lean 4 proofs for a leading AI lab, formalize informal mathematics and judge whether a model's proof actually proves the right statement. A W-2 part-time employment position through Cincinnatus LLC, at least 20 hours a week and up to 40, paying $90–110/hour.

    $90 – $110 / HourWorldwide
  • Embedded firmware, FPGA/RTL, flight software and hardware test automation engineers review and write hard problems about software that runs on real hardware (timing, race conditions, interfaces, bring-up) for an AI research initiative. 5+ years, 3 recent hands-on. Remote contract, $100–120/hour.

    $100 – $120 / HourWorldwide
  • A short, well-paid sprint for very senior software engineers: help a leading foundation-model lab improve its models on hard SWE tasks. 10+ years at top US tech firms, about 20 hours a week for 2–3 weeks. $150–210/hour by geography and level; the 2-hour vetting exercise is paid $100.

    $150 – $210 / HourWorldwide
  • A hybrid, Bay Area-based W-2 role embedded with a leading AI lab: senior software engineers vet model outputs, write instruction specs and golden solutions, and build engineering benchmarks. 4+ years, senior-level progression and a CS or engineering degree. 40 hours a week for an initial 6 months, $65–105/hour.

    $65 – $105 / HourHybridOpen to United States
  • 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.

    $100 – $500 / TaskWorldwide
  • Audit repository-level software engineering benchmark tasks for a frontier AI lab: reference patches, test harnesses, Docker isolation, and signs of answer leakage or reward hacking. For US engineers with 3+ years and real open-source contributor or maintainer history. $70–90/hour.

    $70 – $90 / HourOpen to United States
  • US-based cloud and DevOps engineers design and grade AI training tasks on Kubernetes failure diagnosis, AWS service integration, Terraform or CDK design and CI/CD, and write the rubrics behind them. 4+ years at a top-tier organisation. Full-time W-2 through Cincinnatus LLC at a leading AI lab, $75–110/hour.

    $75 – $110 / HourOpen to United States
  • 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.

    $70 – $90 / HourOpen to United States
  • Senior US full-stack engineers (6+ years, end-to-end system ownership) build production-grade software on a leading AI lab's pre-release models, integrate tool interfaces and evaluation harnesses, and document model failure modes for researchers. Full-time W-2 through Cincinnatus LLC, 40 hours a week, $90–110/hour.

    $90 – $110 / HourOpen to United States
  • 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.

    $70 – $90 / HourOpen to United States
  • 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.

    $80 – $150 / TaskWorldwide
  • Grade AI-generated slides, spreadsheets and documents for real-world software engineering quality, flagging factual, visual and presentation errors with written feedback. Needs 5+ years at a top firm in the US, UK, Canada, Australia or New Zealand. $100–150/hour.

    $100 – $150 / HourWorldwide
  • 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.

    $140 – $200 / HourOpen to United Kingdom

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