Member of Technical Staff, Model Training (Post-Training Research) (Remote AI Evaluation Contract)

If you're passionate about testing the boundaries of cutting-edge technology, Jobtacular has your next breakthrough engagement. We're placing an exceptional Member of Technical Staff, Model Training (Post-Training Research) (Remote AI Evaluation Contract) earning $600,000 - $1,800,000/year to work directly on high-impact systems. You'll team up with frontier research labs to construct gold-standard benchmarks and stress-test machine reasoning using your deep expertise in Reinforcement Learning & Optimization, Post-Training Algorithms, Training Data Strategy & Curriculum Learning, ML Research & Experimental Design. No commute, high hourly yield, and pure technical impact.

The Mission & Daily Problems You'll Tackle

• Investigate learning objectives, optimization dynamics, exploration strategies, and credit assignment mechanisms to improve training stability, sample efficiency, and capability acquisition.
• Develop and refine training recipes by jointly optimizing data mixtures, sampling strategies, curricula, and evaluation methodologies.
• Design methods for learning from expert demonstrations, human preferences, corrections, and model-generated trajectories, identifying where human feedback delivers the greatest improvements.
• Research the co-evolution of generators, reward models, and graders, developing approaches that improve both model performance and the quality of the training signals they consume.
• Design rigorous experiments, ablation studies, and evaluation frameworks to measure generalization, reasoning, and performance on realistic downstream tasks.
• Own research initiatives end-to-end, from identifying promising directions and implementing new algorithms to executing large-scale experiments and validating results.
• Strong foundations in machine learning, deep learning, optimization, and modern model training techniques.

Your Background & Superpowers

• Experience designing controlled experiments, interpreting model behavior, and translating empirical findings into actionable research directions.
• Ability to independently navigate ambiguous research problems, formulate hypotheses, and iterate quickly based on experimental evidence.
• Strong analytical thinking and a research-driven mindset, with an emphasis on reproducibility, scientific rigor, and measurable improvements.
• Experience with RLHF, RLAIF, preference optimization, or reinforcement learning for reasoning and agentic tasks.
• Familiarity with distributed training, large-scale experimentation, and GPU-based model optimization.
• Experience developing reward models, verifiers, graders, or automated evaluation systems.
• Research contributions to post-training, reinforcement learning, or related areas through publications, open-source projects, or production systems.

The Numbers: Pay, Hours & Autonomy

• Compensation Rate: $600,000 - $1,800,000/year (verified contractor 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 & Optimization, Post-Training Algorithms, Training Data Strategy & Curriculum Learning, ML Research & Experimental Design
• Hiring Lead: Alex Rivera (Head of AI Sourcing) at Jobtacular

Direct Application Process: Click the Apply button on this page to submit your profile directly for immediate evaluation.