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Clera

Lead Research Engineer, Data Quality

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

Open. First seen 21 October 2026.

Apply on the company's site →

About the role

About the Role

Lead the data quality team at an AI and machine learning company focused on reinforcement learning environments and model evaluation. You will shape the systems and research practices that make training data useful for real-world 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 by establishing standards, building quality control systems, and designing experiments to assess agent outputs.
  • Develop scalable methods to validate synthetic data, including failure-mode analysis, task mutation checks, and trajectory audits.
  • Work with research engineers, domain experts, and data vendors to identify quality issues and improve data generation workflows.
  • Translate research insights into production tools, dashboards, validation pipelines, and feedback loops.
  • Develop team practices for recognizing training data that is genuinely useful, realistic, and reliable.
  • Mentor research engineers and uphold strong standards for technical rigor and execution.

What We're Looking For

  • At least 5 years of relevant research or engineering experience, including building AI/ML data evaluation or quality systems.
  • Experience leading technical projects or teams from problem definition through implementation and iteration.
  • Advanced proficiency in Python, Docker, and Linux environments.
  • Background in AI research, evaluation, post-training, benchmarks, synthetic data, or model evaluation infrastructure.
  • Strong judgment about training data quality, including whether tasks are realistic, learnable, diverse, reliable, and useful.
  • Experience designing metrics, experiments, and quality assurance processes, and translating research into production systems.
  • Experience working with subject-matter experts to scale domain judgment into review or data generation workflows.
  • Clear written communication, attention to detail, and comfort working independently 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.

What this role asks for

Particular to this role

Docker · Linux

Rare in Clera's other 299 open postings.

Standard for software engineering roles

Python

Common in software engineering postings at any company.

Compared with Clera's other open jobs.

The team: Engineering HIRES STEADILY

This role is one of 385 open in Engineering. 319 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 (162 of 385), Python (160 of 385), TypeScript (151 of 385), React (122 of 385), Machine Learning (92 of 385), PostgreSQL (70 of 385), JavaScript (66 of 385)

OTHER ROLES ON THIS TEAM

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

Other openings for this role

3 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

7 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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