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Clera

Lead Research Engineer, Data Quality

United States
Salary
$130,000 - $225,000
Level
Lead
Work type
On-site
Visa
Sponsors visas

Open. First seen 13 October 2026.

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The team: Engineering HIRES STEADILY

This role is one of 246 open in Engineering. 180 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (118 of 246), TypeScript (112 of 246), Python (103 of 246), React (92 of 246), Machine Learning (61 of 246), PostgreSQL (44 of 246), JavaScript (41 of 246)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

About the Role

Lead the data quality team at an early-stage AI evaluation infrastructure startup. You will shape the systems and research practices used to measure and improve training data for AI agents, helping ensure it is useful, reliable, and representative of real-world tasks.

What You'll Do

  • Lead development of systems to evaluate tasks across reinforcement learning environments, synthetic data, benchmarks, and domain-specific workflows.
  • Set data quality strategy by defining standards, building quality control systems, and designing experiments to assess agent outputs.
  • Develop scalable synthetic data validation methods, including failure analysis, task mutation checks, and trajectory audits.
  • Work with research engineers, subject-matter experts, and data providers to investigate quality issues and improve data generation workflows.
  • Turn research insights into production tools, dashboards, validation pipelines, and feedback loops.
  • Mentor research engineers and promote technical rigor, clear communication, and effective execution.

What We're Looking For

  • At least 5 years of research or engineering experience, including building AI or machine learning data evaluation systems.
  • Experience leading technical projects or teams through ambiguous problems, from definition to implementation and iteration.
  • Advanced proficiency in Python, Docker, and Linux.
  • Background in AI evaluations, post-training, synthetic data validation, benchmarks, or machine learning data quality.
  • Strong judgment about what makes agent training data realistic, learnable, diverse, reliable, and useful.
  • Experience designing metrics and quality processes, translating research into production systems, and working with domain experts.
  • Clear written communication and experience in an early-stage startup environment.

Compensation & Benefits

Annual salary range: $130,000 to $225,000 USD. Visa sponsorship is available.

Location

On-site in the United States.

Other openings for this role

2 open postings for this role in United States, first posted 6 October 2026. The company is likely hiring for more than one position. None has been taken down and posted again.

Salary context

6 other open postings titled Lead Research Engineer, Data Quality state a salary: median USD 150,000 to USD 180,000 a year.

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