Clera
Lead Research Engineer, Data Quality
- Compensation
- $150K–$180K / yr
- From job posting
- Location
- San Francisco, CA, US
- Arrangement
- On-site
- Employment type
- Full-time
- Level
- Lead
- Posted
- 28 September 2026 (2 days ago)
Checked yesterdayApplications go to the employer, never to RoleSprint
About this role
ABOUT THE ROLE
This is a senior technical leadership role on the data quality team at an early-stage AI infrastructure company focused on building and scaling reinforcement learning environments for frontier model training. You will own the strategy and systems that measure and improve training data quality, shaping research culture around what makes agent data genuinely useful rather than just superficially correct.
WHAT YOU'LL DO
- Lead the data quality team in building systems that evaluate thousands of tasks across RL environments, synthetic data, benchmarks, and domain-specific workflows.
- Define the data quality strategy by building QC systems, enforcing standards, and designing experiments to grade agent outputs.
- Develop new methods for validating synthetic data at scale, including failure-mode analysis, task mutation checks, and trajectory auditing.
- Partner with research engineers, domain experts, and data vendors to diagnose quality issues and improve data generation workflows.
- Turn qualitative research insights into production systems: internal tools, dashboards, validation pipelines, and feedback loops.
- Mentor research engineers to maintain a high bar for technical rigor, clarity, and execution speed.
WHAT WE'RE LOOKING FOR
- 5+ years of relevant engineering or research experience, specifically building systems for AI/ML data evaluation or data quality.
- Proven track record leading technical teams on ambiguous projects from problem definition through implementation and iteration.
- Advanced proficiency in Python, Docker, and Linux environments.
- Experience building QC systems, evals, benchmarks, synthetic data pipelines, validation workflows, or model evaluation infrastructure.
- Deep intuition for what makes training tasks realistic, learnable, diverse, reliable, and useful for AI agents.
- Research-oriented understanding of AI evals and post-training, beyond surface-level agent tooling projects.
- Comfort designing metrics, experiments, and QA/QC processes, not just executing them.
- Strong written communication skills, with the ability to explain methodology clearly to diverse audiences.
- Experience working with subject-matter experts to capture domain judgment and convert it into scalable review or generation systems.
- Early-stage startup experience and the ability to work independently in fast-paced environments.
COMPENSATION & BENEFITS
Salary range: $150,000 to $180,000 USD annually. Visa sponsorship is available.
LOCATION
On-site in San Francisco, CA, USA. The team also has a presence in Singapore.
Work location
- San Francisco, CA, US
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About this listing
Published on Ashby under the board identifier Clera, which is the name the employer’s own job board carries. RoleSprint has not verified the company’s registered or trading name, so it is shown exactly as published rather than tidied up.
RoleSprint is not the employer and not a recruiter. Applications are made on the employer’s own site and never reach us; what RoleSprint does is help you decide whether a role is worth your time and prepare for it if it is.
Published 28 September 2026, last checked yesterday. A posting stops being advertised here 90 days after the employer published it, and one the employer takes down is marked closed rather than quietly removed.