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Salary
$100k – $170k per year
Location
In office (Singapore)
Seniority
Middle · 2+ years exp
Visa
Sponsorship offered in the posting
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 6, 2026. First seen by Alion on Oct 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.

About the Role

Join a small, technical research and engineering team building rigorous benchmarks for evaluating AI agents on realistic, domain-specific workflows. You will own benchmark design and implementation, helping ensure evaluation results are reliable and useful to research and industry teams.

What You'll Do

  • Design, implement, and maintain benchmarks for evaluating AI agents on domain-specific tasks.

  • Collaborate with subject-matter experts to turn real workflows into realistic tasks and evaluation criteria.

  • Build reliable infrastructure to run models and agents against evaluation tasks at scale.

  • Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes.

  • Validate how benchmark results relate to real-world performance and evaluation needs.

  • Write clear technical documentation and reports for research and engineering audiences.

What We're Looking For

  • Two to four years of experience in software engineering, machine learning engineering, or research, including at least two years focused on AI benchmarks, evaluations, or agent environments.

  • Hands-on experience designing, implementing, and operating benchmarks or evaluation infrastructure for AI agents or large language models.

  • Proficiency with Python, Docker, and Linux environments.

  • Experience working with subject-matter experts to model workflows across technical or business domains and define evaluation criteria.

  • Experience developing metrics, statistical analyses, or validation studies for benchmark quality and real-world relevance.

  • Strong technical writing, attention to detail, and ability to work independently in an early-stage environment.

  • Experience with reinforcement learning pipelines, data generation, or agent evaluation is useful. Published work or technical writing on AI evaluation is also valued.

Compensation & Benefits

Annual salary range: $100,000 to $170,000 USD. Visa sponsorship is available.

Location

On-site in Singapore, Singapore.

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