Member of Technical Staff, Model Training (Infrastructure & Platform) (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 (Infrastructure & Platform) (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 Distributed ML Training Infrastructure, GPU Performance & Inference Optimization, Distributed Systems & Platform Architecture, Technical Leadership & System Ownership. No commute, high hourly yield, and pure technical impact.

The Mission & Daily Problems You'll Tackle

• Design distributed training and execution pipelines that coordinate GPU workers, rollout generation, teacher-model inference, reward computation, and simulation environments.
• Develop high-performance infrastructure for model training and inference, optimizing GPU utilization, memory management, communication, storage, and distributed execution.
• Build and evolve the core architecture of the client's agent ecosystem, including execution runtimes, tool interfaces, environment integrations, model registries, and serving APIs.
• Develop robust systems for experiment tracking, dataset and model versioning, checkpointing, fault recovery, and observability to improve research reproducibility and operational reliability.
• Identify and eliminate infrastructure bottlenecks, reducing experiment turnaround time and enabling researchers to run increasingly complex training workloads.
• Define technical standards, platform interfaces, and architectural patterns that support collaboration across research, infrastructure, and applied engineering teams.
• Lead critical engineering initiatives from system design through implementation and production operations, mentoring engineers while maintaining direct ownership of technically challenging components.

Your Background & Superpowers

• Experience designing reliable APIs, services, and infrastructure components that support complex engineering or research workflows.
• Demonstrated technical ownership, including making architectural decisions, leading cross-functional initiatives, and delivering systems that other engineers depend on.
• Ability to operate effectively in fast-moving research environments where requirements evolve and infrastructure must support rapid experimentation.
• Experience with distributed ML frameworks and technologies such as PyTorch Distributed, DeepSpeed, Ray, Megatron-LM, or similar systems.
• Familiarity with GPU inference engines and optimization frameworks such as vLLM, TensorRT-LLM, or equivalent technologies.
• Experience building reinforcement learning infrastructure, rollout orchestration systems, or distributed agent execution environments.
• Knowledge of CUDA, GPU kernel optimization, NCCL, or low-level GPU performance engineering.

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: Distributed ML Training Infrastructure, GPU Performance & Inference Optimization, Distributed Systems & Platform Architecture, Technical Leadership & System Ownership
• 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.