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Machine Learning Expert
$20-40/h · payRequired skills
machine learningmodel evaluationdata annotationtechnical writingreviewing model outputsexperimental designcollaborative remote teamwork
About AIG Force
AIG Force is an AI-native recruitment platform that connects companies with rigorously vetted domain experts. Our automated pipeline runs the full hiring process, from résumé screening through structured AI interviews, so specialists reach the right teams faster. As our global expert network grows, we are building the human expertise layer behind frontier work.
- Role title
- Machine Learning Expert
- Role type
- Contractor
- Location
- Remote
- Domain
- Software Engineering
AIG Force is engaging Machine Learning Experts to contribute to high-impact projects that apply real-world expertise to advanced AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required; your domain knowledge is what matters.
Scope of work
- Review, evaluate, and produce high-quality work on advanced machine learning problems spanning theory and practice.
- Develop detailed, well-structured analyses, documentation, and deliverables across a range of machine learning topics.
- Assess the accuracy, clarity, and rigor of machine learning outputs, providing actionable feedback for improvement.
- Create and annotate high-quality, domain-specific material to inform training and benchmarking.
- Document technical methodologies and communicate complex ideas clearly in written and verbal formats.
- Collaborate with a remote team of subject matter experts across diverse machine learning disciplines.
Preferred qualifications
- BSc, MSc, or PhD in Computer Science, Machine Learning, or a related field, or a closely related field.
- Demonstrated experience authoring research papers, technical reports, or professional documentation.
- Proficiency translating complex machine learning concepts for both technical and non-technical audiences.
- Strong written and verbal communication skills, with an emphasis on clarity and precision.
- Familiarity with current trends, open problems, or applications in machine learning and related fields.
- Capability to work independently and manage deliverables in a fully remote engagement.