Expert Talent Pool, Agents and Reinforcement Learning
remotecontract
Remote
mid
$166k–$416k
H1B: no
Clera This role focuses on designing reinforcement learning environments and evaluation systems for AI human-data projects. The expert will also assess agent behavior and mentor contributors on evaluation practices.
Responsibilities
Join an expert network supporting AI human-data projects focused on agents and reinforcement learning. You will design training environments and evaluation systems, and assess agent behavior as projects become available.
Design reinforcement learning environments, including Python and Docker setups, state spaces, tool integrations, and scoring mechanisms.
Build robust verifiers and reward functions that resist agent gaming.
Translate real-world business workflows in areas such as ERP, CRM, finance, and operations into measurable scenarios.
Integrate tools and REST APIs, and build test harnesses using pytest or similar tools.
Lead agent demonstration and computer-use programs, setting standards for trace collection quality.
Grade and repair agent trajectories, and mentor contributors on evaluation practices.
Qualification
Experience designing environmentsExperience with REST APIs and DockerExperience leading or reviewing dataA degree in computer science
Required
At least 5 years of experience in software engineering, QA automation, machine learning, reinforcement learning, or business systems and operations paired with hands-on agent or RL data work.
Strong Python skills and experience building tools or services used by others.
Experience designing environments, verifiers, reward functions, or test harnesses that evaluate software or agent behavior, using tools such as pytest, Playwright, Selenium, or Gymnasium-style environments.
Hands-on experience with agent or RL data, such as demonstrations, trajectory grading, trace collection, or computer-use demos.
Experience with REST APIs and Docker.
Experience leading or reviewing data, evaluation, or demonstration work is valuable, as is expertise modeling workflows in business systems such as Salesforce or ERP platforms.
A degree in computer science, engineering, or a related field is relevant.
Preferred
Experience leading or reviewing data, evaluation, or demonstration work
Expertise modeling workflows in business systems such as Salesforce or ERP platforms
