Member of Technical Staff, Model Training (Applied Research) $200,000–$320,000 Remote Openings 01

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

micro1 has listed a full-time remote opportunity for a Member of Technical Staff, Model Training (Applied Research). This role focuses on applied machine learning research, multimodal AI, robotics, autonomous agents, and deploying specialized AI models in production environments.

Job Overview

  • Company: micro1
  • Job Title: Member of Technical Staff, Model Training (Applied Research)
  • Openings: 1
  • Job Type: Full-time
  • Location: Remote
  • Key Areas: Applied Machine Learning, Multimodal AI, Robotics, Model Training, Autonomous Agents

Important Compensation Notice

Please verify the salary before applying. The job card lists compensation of $7–$8 per hour, while the job description states a national annual base salary of $200,000–$320,000.

These figures do not match. The correct compensation for this specific role has not been independently verified. Contact micro1 or check the official listing to confirm the applicable salary, employment terms, and eligibility.

About the Role

In this role, you will work across language models, multimodal systems, robotics, and autonomous agents. You will help develop specialized AI models for specific applications, covering the full model development lifecycle—from understanding application requirements and preparing training data to model adaptation, evaluation, and production deployment.

The goal is to build models that deliver strong performance on targeted tasks while improving inference speed, 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 specialized models for multimodal understanding, robotic perception and control, and autonomous agents.
  • Build simulation-based training and evaluation environments for policy learning and task generalization.
  • Combine expert demonstrations, human feedback, synthetic datasets, and generated trajectories to improve training.
  • Develop models that support micro1's data generation, annotation, quality assurance, and automated grading workflows.
  • Use expert corrections and model performance feedback to improve accuracy and robustness.
  • Optimize models for inference quality, latency, throughput, and computational efficiency.
  • Collaborate with research and engineering teams to move 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.
  • Practical experience with one or more areas: large language models, vision-language models, robotics, reinforcement learning, or autonomous agents.
  • Strong Python and PyTorch skills.
  • Experience building training, evaluation, and inference pipelines.
  • Ability to translate application requirements into measurable model objectives and benchmarks.
  • Solid software engineering skills and experience developing maintainable systems.
  • Knowledge of 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 machine learning, multimodal AI, robotics, or agent systems.

Compensation and Benefits

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

Note: Because the job card displays $7–$8 per hour, applicants should confirm the correct compensation directly with micro1. Benefits and eligibility depend on the employer's policies and applicable terms.

How to Apply

Visit the official micro1 website and search for the exact role title: 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 opening.

Equal Opportunity and Accessibility

micro1 states that it is an equal opportunity employer. Its hiring process uses AI tools to assist with candidate screening and assessment, designed to complement rather than replace human decision-making.

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

Disclaimer

This post is based on the job details supplied for informational purposes. Compensation, availability, eligibility, and benefits have not been independently verified and may change. Check the official listing before applying. AQZORA Jobs does not guarantee selection or employment.

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