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

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Oct 20, 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 research and engineering team building synthetic data systems for AI agents. You will develop methods and infrastructure that turn real-world workflows into high-quality training tasks, helping expand and evaluate model capabilities.

What You'll Do

  • Build pipelines that transform domain-specific workflows into realistic, structured, and challenging synthetic training tasks.

  • Collaborate with subject-matter experts to create tasks across professional and technical domains.

  • Design methods for generating diverse, realistic, and learnable tasks.

  • Develop tools to mutate, validate, and improve synthetic tasks.

  • Analyze model and agent performance to understand task effectiveness and identify failure modes.

  • Create metrics to assess task diversity, realism, learnability, and overall quality.

What We're Looking For

  • Two or more years of experience in software engineering, machine learning engineering, or AI research, with a technical background.

  • Hands-on experience applying synthetic data methods to build end-to-end data generation pipelines for AI or machine learning.

  • Proficiency in Python, Linux, and containerization tools such as Docker.

  • Experience with evaluation frameworks, benchmarks, or testing environments for AI agents or large language models.

  • Understanding of synthetic data quality, evaluation metrics, and limitations, backed by research or production work.

  • Experience building automated systems to generate, validate, mutate, or process structured data at scale.

  • Ability to own technical projects from conception through delivery in loosely defined problem spaces.

  • Strong attention to detail, communication skills, and ability to reason about task design, scoring, and edge cases.

  • Familiarity with reinforcement learning, agent workflows, or LLM post-training is helpful.

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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