
Remote Member of Technical Staff, Research Engineering — Global Domain Operations
MegaHired invites qualified professionals to apply for our remote Remote Member of Technical Staff, Research Engineering — Global Domain Operations opportunity ($400,000 - $800,000/year). You will leverage hands-on experience in Reinforcement Learning, ML-Oriented Data Design, RL Environments, RL Workflows to audit AI-generated solutions, pinpoint reasoning gaps, and construct authoritative reference responses.
Core Project Workflow
- Contribute to the release and analysis of evaluations on internal and external benchmark platforms (e.g., our AI research partner benchmarks).
- Deep experience in Reinforcement Learning, including environment design and training dynamics.
- Strong track record of building and scaling RL systems, pipelines, or experimentation frameworks.
- Proficient in automation and data generation, including synthetic data pipelines.
- Familiar with automated evaluation systems, model validation, and quality assurance workflows.
- Architect self-contained RL environments that capture complex, real-world tasks, including reward functions, verifiers, and evaluation logic.
- Design and scale episode pipelines and multi-component training processes (MCPs) to support reproducible experimentation.
Required Technical & Domain Mastery
- The national pay range for this full-time position is base salary of $200,000 –$300,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. our AI research partner provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
- Compensation Band: $400,000 - $800,000/year
- Work Location: Remote (100% Remote / Asynchronous Flexibility)
- Available Openings: 1 open position
- Core Competencies: Reinforcement Learning, ML-Oriented Data Design, RL Environments, RL Workflows
- Experienced in fine-tuning and evaluating open-source ML models.
- Clear, concise communicator with strong technical writing skills.
Compensation Summary
- Compensation Rate: $400,000 - $800,000/year (contract specialist remuneration)
- Work Arrangement: 100% Remote / Work From Home
- Eligible Remote Countries: United States, United Kingdom, Canada, Australia, New Zealand, Ireland, and South Africa
- Core Competencies: Reinforcement Learning, ML-Oriented Data Design, RL Environments, RL Workflows
- Hiring Agency: MegaHired
Direct Application Process: Click the Apply button on this page to proceed directly to our partner application portal and submit your profile for immediate consideration.
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