Member of Technical Staff, Model Training (Applied Research) $7–$8 per hour Remote Openings 01

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Member of Technical Staff, Model Training (Applied Research) – Remote Job at micro1

micro1 is listing a full-time remote opportunity for a Member of Technical Staff, Model Training (Applied Research). This role focuses on applied machine learning, multimodal AI, robotics, autonomous agents, and the development of specialized AI models for real-world applications.

Job Overview

  • Company: micro1
  • Job Title: Member of Technical Staff, Model Training (Applied Research)
  • Openings: 1
  • Job Type: Full-time
  • Location: Remote
  • Listed Hourly Pay: $7–$8 per hour
  • Key Skills: Model Training, Multimodal AI, Robotics, Applied ML Evaluation, Inference Optimization

Important Salary Notice

The job card lists compensation of $7–$8 per hour, while the job description states an annual base salary of $200,000–$320,000, plus potential equity and performance-based bonuses.

These figures conflict and have not been independently verified. Applicants should confirm the correct compensation and applicable employment terms directly with micro1 before applying.

About the Role

This position involves developing and adapting AI models for specific applications across language models, multimodal systems, robotics, and autonomous agents.

The successful candidate will work across the full model development lifecycle, including understanding application requirements, creating training datasets, adapting models, evaluating performance, and deploying production-ready systems.

The objective is to build specialized models that perform strongly on targeted tasks while improving inference efficiency, latency, and computational cost.

Key Responsibilities

  • Train, fine-tune, and adapt language, vision-language, and robotics models using supervised fine-tuning, reinforcement learning, imitation learning, and distillation.
  • Develop models for multimodal understanding, robotic perception and control, and autonomous agents.
  • Build simulation-based training and evaluation environments to study policy learning and task generalization.
  • Combine expert demonstrations, human feedback, synthetic data, and environment-generated trajectories to improve model training.
  • Develop specialized models supporting data generation, annotation, quality assurance, and automated grading workflows.
  • Use expert corrections and performance feedback to improve model accuracy, robustness, and task success.
  • Optimize models for quality, latency, throughput, and computational efficiency.
  • Collaborate with research and engineering teams to turn prototypes into scalable production systems.

Required Skills and Qualifications

  • Strong foundations in machine learning and deep learning.
  • Hands-on experience training, adapting, and evaluating modern AI models.
  • Experience with large language models, vision-language models, robotics, reinforcement learning, or autonomous agents.
  • Strong proficiency in Python and PyTorch.
  • Ability to build reliable training, evaluation, and inference pipelines.
  • Experience translating application requirements into measurable objectives and benchmarks.
  • Strong software engineering fundamentals.
  • Familiarity with fine-tuning, distillation, imitation learning, or reinforcement learning.
  • Strong experimental judgment and problem-solving skills.

Preferred Qualifications

  • Experience with robotics, embodied AI, vision-language-action models, or simulation-based policy learning.
  • Familiarity with agent frameworks, tool-using models, and environment-driven training.
  • Experience with synthetic data generation, human-in-the-loop learning, or automated evaluation.
  • Knowledge of quantization, batching, model compression, and efficient model serving.
  • Experience deploying specialized models in production environments.
  • Research publications or open-source contributions in applied ML, multimodal AI, robotics, or agent systems.

Compensation and Benefits

The supplied description states an annual base salary range of $200,000–$320,000. It also mentions equity compensation, possible performance-based bonuses, health-insurance premium reimbursement of up to 100%, paid time off, a 401(k) plan with company matching, and additional benefits subject to company policies.

Because the hourly pay on the job card differs from the annual salary in the description, applicants should verify the correct pay information with the employer.

How to Apply

Visit the official micro1 website and search for Member of Technical Staff, Model Training (Applied Research).

Visit the official micro1 website

This is the general company website, not a verified direct application link for this specific role.

Equal Opportunity and Accessibility

micro1 states that it is an equal opportunity employer and that AI tools assist its candidate screening and assessment process alongside human decision-making.

For assistance or reasonable accommodation during the application process, contact support@micro1.ai.

Disclaimer

This post is based on the supplied job information and has not been independently verified. Compensation, availability, eligibility, and benefits may change. Review the official listing before applying. AQZORA Jobs does not guarantee selection or employment.

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