Invisible Technologies is seeking experienced Machine Learning specialists to join a freelance project focused on auditing AI training tasks. You will play a critical role in ensuring that the workflows used to train and evaluate AI systems are technically rigorous, highly accurate, and practical for real-world applications.
Key responsibilities
- Evaluate machine learning tasks to ensure they are technically accurate, realistic, solvable, and reproducible.
- Verify that tasks are supported by reliable testing methods and clear evaluation criteria.
- Provide actionable feedback regarding data pipeline flaws, model training inefficiencies, or algorithmic logic errors.
- Collaborate on maintaining high standards for technical documentation and task design within the AI training ecosystem.
Requirements
- Demonstrable professional experience in Machine Learning, including model development and data preprocessing pipelines.
- Proficiency in industry-standard ML frameworks such as PyTorch or TensorFlow.
- Strong analytical and problem-solving skills to troubleshoot and evaluate complex technical scenarios.
- Ability to provide clear, concise, and constructive technical feedback on algorithmic workflows.
What we offer
- Opportunity to work on cutting-edge AI training projects as a freelance contractor.
- Flexible engagement model allowing for professional autonomy in a fully remote environment.
- Exposure to advanced machine learning workflows and high-level technical auditing processes.