Time Commitment: 15+ hours per week Schedule: Flexible micro1 is looking for Machine Learning Engineers with prior professional AI-training or model-evaluation experience to support a project focused on improving advanced AI systems.
AI/ML Research Consultant
Remote (Global)
April 21, 2026
Job description
Apply machine learning and AI research expertise to evaluate model outputs, design benchmarks, and improve AI reasoning across technical domains.
Role details
- Domain: Technology
- Experience level: Industry Expert
- Required expertise: Machine Learning, Deep Learning, LLM Evaluation, Python, Research Methods
- Location: Fully remote
Responsibilities
- Evaluate AI model outputs for reasoning quality and accuracy
- Design and run technical benchmarks
- Provide expert feedback on ML and AI research content
- Identify failure modes and suggest improvements
Requirements
- MS or PhD in CS, ML, or related technical field
- 3+ years ML research or engineering experience
- Experience evaluating LLMs or building AI benchmarks
- Strong Python and technical writing skills
Benefits
- Fully remote, flexible scheduling
- Work on frontier AI systems
- High-impact role shaping next-gen AI
Pasiflora AI is an expert network that contracts specialists to review, annotate and validate AI training data in their own field. Screening steps, task volume, time commitment and payment terms are shown on the Pasiflora application page — apply on pasifloraai.com.
Apply now
Opens pasifloraai.com in a new tab. If they ask how you found the role, mention RemoWork.
Job Type: Contractor (~15 hours per week) Schedule: Flexible—you choose the hours and days you work, including weekends if desired We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and…
Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems. You’ll be at the forefront of evaluating how LLMs interact with real code, influencing the future of AI-assisted software development.
Design the evaluations and rubrics that show where models go wrong. Build evals, write rubrics, and review training data and model pipelines. What you would do Design evaluations and benchmarks. Write rubrics that turn judgment into clear criteria.