<< Insert Job Description Here>>
Project OverviewWe 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 range of $70 - $100per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. 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
Invisible Technologies is an AI training and data collection company that develops high-quality training data to enhance large-scale language models. The company specializes in recruiting domain experts—including general professionals, medical specialists, and language experts—to evaluate and improve AI system performance through structured feedback and testing. Their mission is to make tomorrow's AI smarter, more reliable, and more useful by leveraging human expertise to strengthen model reasoning across diverse fields including healthcare, linguistics, and general knowledge. They work with contractors to provide audio, video, image, and written inputs that support the development and refinement of cutting-edge AI systems.
