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Machine Learning (ML) AI Task Auditor - Freelance AI Trainer Project

Role overview

Qualifications

  • Demonstrable professional experience and deep technical knowledge in Machine Learning
  • Strong analytical and problem-solving skills
  • Experience with ML frameworks like PyTorch or TensorFlow

Responsibilities

  • Assess whether machine learning tasks are technically accurate, realistic, solvable, reproducible
  • Provide clear, actionable feedback on data pipeline flaws and model training inefficiencies
  • Ensure AI training workflows are technically rigorous and highly accurate

Key facts

  • Remote from: Anywhere
  • Freelance
  • AI Consultant
  • English

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving

About the company

Invisible Technologies Inc. logo

Invisible Technologies Inc.

  • AI & Machine Learning
  • Large
  • 1,001–5,000
Invisible is the operations innovation company transforming how companies are built and run. We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 6,000 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities.

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Job description


<< Insert Job Description Here>>

Project Overview We are sourcing experienced technical specialists in Machine Learning to audit tasks used to train and evaluate AI systems. The objective of this project is to ensure that AI training workflows and tasks are technically rigorous, practical, and highly accurate within your specific area of expertise.

Project Deliverables & Scope

  • Task Evaluation: Assess whether machine learning tasks are technically accurate, realistic, solvable, reproducible, and supported by reliable tests and evaluation criteria.

  • Technical Auditing & Feedback: Provide clear, actionable feedback on any identified data pipeline flaws, model training inefficiencies, or algorithmic logic errors within the tasks.

Required Expertise

  • Demonstrable professional experience and deep technical knowledge in Machine Learning (including model development, data preprocessing pipelines, and ML frameworks like PyTorch or TensorFlow). (Note: Candidates will be considered for one specialty based on their experience; expertise across other domains is not required).

  • Strong analytical and problem-solving skills to rigorously test, troubleshoot, and evaluate complex technical scenarios.

We offer a pay rate of $60 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.

Employment type: Freelance Contract

Workplace type: Remote

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