An opportunity is available for a Member of Technical Staff with Frontier AI expertise to support AI development and evaluation projects. There is currently 1 opening available.
Job Responsibilities
- Own research and evaluation initiatives end-to-end: problem framing, data design, quality calibration, and signal validation.
- Design ML-oriented data systems, including task definitions, annotation schemas, rubrics, incentives, and pipelines optimized for downstream model performance.
- Analyze model and system failures to identify root causes, edge cases, and opportunities for improvement.
- Translate ambiguous, real-world behavior into structured evaluation frameworks and new data categories.
- Work closely with researchers and domain experts to calibrate quality early and continuously raise the signal bar.
- Iterate rapidly on evaluations, datasets, and feedback loops to improve system performance.
- Act as a quality gate: block claims, pause work, or force scope changes when signal strength or data integrity is insufficient.
- Partner with cross-functional and client-facing teams to translate research progress into clear, credible narratives grounded in evidence.
Compensation: $100 - $130/hr.
Location / Region: Remote.
Relevant skills include:
- Research signal judgment
- Ml-oriented data design
- Ops-to-research translation
- Rl environments
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