Member of Technical Staff, Frontier AI | $100-$130/hr Remote
Overview
A remote senior contributor role focused on bridging research, data, and live AI systems. You’ll own evaluation, failure analysis, and iterative improvements to boost model and system performance. Expect close collaboration with researchers and operators to turn experimental signals into real-world gains and measurable impact. This position emphasizes hands-on ownership, rigorous validation, and clear communication of results across technical and non-technical stakeholders.
What You'll Do4
- 1Lead end-to-end research and evaluation cycles, from framing problems to validating signals and calibrating data quality.
- 2Design ML oriented data platforms, including task definitions, annotation schemas, rubrics, incentives, and data pipelines aimed at improving downstream model outcomes.
- 3Investigate model and system failures to uncover root causes, edge cases, and actionable improvement opportunities.
- 4Convert ambiguous real-world behavior into structured evaluation frameworks and new data categories, ensuring robust measurement.
Requirements5
- 1Strong judgment about when research signal is ready for external communication and publication
- 2Experience building ML datasets, evaluation frameworks, and quality assurance processes
- 3Ability to translate messy real-world behavior into concrete research questions and evaluation plans
- 4Comfort operating in ambiguity with ownership mindset and decisive action
- 5Excellent written and verbal communication, especially around tradeoffs, limitations, and signal strength
Who Should Apply
The ideal candidate is a technically seasoned problem solver who thrives at the intersection of research and production systems. You should excel at designing data-centric evaluation methods, communicating complex ideas clearly, and driving cross-functional work with researchers, domain experts, and operators to deliver defensible, impactful improvements.
Salary Insight
Base salary range discussed for similar roles is $180,000 to $320,000, with equity and performance-based bonuses often available depending on the role and policy.
Location
Required Skills
Application Tip
Prepare a concise portfolio of 2–3 projects where you shaped data definitions, evaluation metrics, and a deployment-ready improvement with measurable impact, and be ready to explain tradeoffs and data quality decisions.
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