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Salary
$130k – $225k per year
Location
In office (United States)
Seniority
Staff · 5+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 6, 2026. Clera scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Clera is a San Francisco company that runs an AI recruiting platform positioned as a talent agent rather than a job board, matching engineers and other technical candidates to roles at venture-backed startups. Its system reads a candidate's background and preferences, then represents them to hiring teams at companies funded by firms such as Andreessen Horowitz, Y Combinator, Index Ventures and General Catalyst, compressing the introduction step that traditional headhunting handles manually. The model is aimed at the segment where recruiter fees are highest and candidate supply is thinnest, and the platform handles screening, scheduling and pipeline tracking for both sides of the match.
Backed by TU Berlin

About the Role

Lead the data quality team at an early-stage AI company building infrastructure for reinforcement learning and model evaluation. You will shape how training data is assessed and improved, helping research teams create more reliable and useful AI agents.

What You'll Do

  • Lead development of systems that evaluate tasks across reinforcement learning environments, synthetic data, benchmarks, and domain-specific workflows.

  • Set data quality strategy, establish standards, and design experiments to assess agent outputs.

  • Develop scalable methods for validating synthetic data, including failure analysis, task mutation checks, and trajectory audits.

  • Work with research engineers, domain experts, and data vendors to diagnose quality issues and improve data generation.

  • Turn research insights into production tools, dashboards, validation pipelines, and feedback loops.

  • Mentor research engineers and promote technical rigor, clear communication, and strong execution.

What We're Looking For

  • At least 5 years of research or engineering experience focused on AI/ML data evaluation or data quality systems.

  • Experience leading technical projects or teams through ambiguous problem definition, implementation, and iteration.

  • Advanced proficiency in Python, Docker, and Linux.

  • Background in AI evaluations, post-training, benchmarks, synthetic data pipelines, or model evaluation infrastructure.

  • Strong judgment about what makes agent training data realistic, learnable, diverse, reliable, and useful.

  • Experience designing metrics, experiments, and quality processes, and translating research findings into production systems.

  • Ability to work with subject-matter experts and convert domain judgment into scalable review or generation workflows.

  • Strong written communication, attention to detail, and experience in an early-stage startup environment.

Compensation & Benefits

Base salary: $130,000 to $225,000 annually. Visa sponsorship is available.

Location

On-site in the United States. The primary city was not specified.

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