--- title: "Lead Research Engineer, Data Quality" company: "Clera" company_url: "https://www.remjobs.works/companies/clera" url: "https://www.remjobs.works/job/clera-lead-research-engineer-data-quality-206f95d8-37f1-41e7-a227-b376d8836110" apply_url: "https://jobs.ashbyhq.com/clera/d894dfc9-ac80-48ac-a590-60da306c08cf" workplace: onsite location: "San Francisco" employment_type: full-time seniority: lead role: ai-machine-learning region: united-states skills: ["docker", "linux", "python"] date_posted: 2026-09-15T17:05:51.775Z first_seen_by_remjobs: 2026-09-15T17:50:31.424Z --- # Lead Research Engineer, Data Quality **Clera** ยท San Francisco Apply: https://jobs.ashbyhq.com/clera/d894dfc9-ac80-48ac-a590-60da306c08cf ## About Clera Stop applying to startups. Start getting introduced. Clera connects you directly with hiring managers at the companies you want to work for. ## About the role ##### About the Role This is a senior, hands-on technical leadership role owning the strategy and systems that measure, improve, and scale training data for frontier AI agents. You will sit at the intersection of research and engineering, leading a team that defines what high-quality agent training data looks like and building the infrastructure to enforce that bar at scale. The work directly shapes the post-training data that aligns AI models to real-world tasks. ##### What You'll Do - Lead the data quality team in building evaluation systems across RL environments, synthetic data, benchmarks, and domain-specific workflows. - Define data quality strategy by building QC systems, enforcing standards, and designing experiments to grade agent outputs. - Develop 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. - Translate qualitative research insights into production systems: validation pipelines, dashboards, internal tools, and feedback loops. - Help build internal research taste around what makes agent training data realistic, learnable, diverse, reliable, and genuinely useful. - Mentor research engineers to maintain a high bar for technical rigor, clarity, and execution speed. ##### What We're Looking For - 5+ years of experience in research or data quality engineering, specifically building systems for AI/ML data evaluation. - Demonstrated experience leading technical projects or teams in data quality or AI/ML evaluation, ideally on ambiguous, open-ended problems. - Advanced proficiency in Python, Docker, and Linux environments. - Deep, research-oriented understanding of AI evals and post-training, beyond surface-level agent frameworks. - Experience building QC systems, benchmarks, synthetic data pipelines, validation workflows, or model evaluation infrastructure. - Ability to reason carefully about what makes training data high-quality for AI agents, not just technically valid. - Experience translating research insights into production pipelines and internal tooling. - Ability to collaborate with domain experts and data vendors, capturing expert judgment and converting it into scalable review or generation systems. - Strong written communication skills, with the ability to explain methodology clearly to researchers, engineers, and external stakeholders. - Comfort designing metrics, experiments, and QA/QC processes independently. - Early-stage startup experience and the ability to move quickly in fast-paced, resource-constrained environments. - Detail-oriented mindset with a sharp eye for subtle inconsistencies and edge cases in data. ##### Compensation & Benefits Salary range: **$150,000 to $180,000 USD annually.** Visa sponsorship is available. ##### Location On-site in **San Francisco, CA, United States.** This role is not fully remote. --- Source: Clera's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/clera-lead-research-engineer-data-quality-206f95d8-37f1-41e7-a227-b376d8836110