[Remote] ML Engineer Specialist - Freelance AI Trainer Project

Note: The job is a remote job and is open to candidates in USA. Invisible Technologies is focused on enhancing advanced AI systems, and they are seeking a Machine Learning Specialist to tackle applied ML challenges. The role involves solving ML tasks, evaluating scientific writing, debugging model behavior, designing benchmark tasks, and improving training datasets.ResponsibilitiesSolve applied ML tasks: iterating on problems that test and improve model reasoning, from baseline solutions to optimized workflowsEvaluate scientific writing: compare research abstracts and introductions using review rubrics (e.g., NeurIPS guidelines) for clarity, correctness, and impactDebug advanced model behavior: probe LLMs on optimization, fairness, regularization, transformers, and applied NLP, documenting failure modesDesign new benchmark tasks: identify datasets, analyze state-of-the-art papers, build evaluation scripts, and provide reference implementationsImprove training datasets: deliver structured feedback that makes AI outputs more accurate, reliable, and usefulSkillsStrong background in machine learning, NLP, or data scienceExperience with supervised/unsupervised learning, deep learning, reinforcement learning, probabilistic modeling, and applied NLPProficiency in Python, ML frameworks, and cloud-based workflowsClear communication skills, able to explain reasoning and 'show your work.'Master's or PhD in CS/ML/data science preferred; peer-reviewed research or production ML systems a strong plusBenefitsEnjoy flexibility: remote, contract-based work with autonomy to set your schedule.Company OverviewInvisible Technologies makes AI work. Our platform cleans, labels, and structures company data so it’s ready for AI. It was founded in 2015, and is headquartered in San Francisco, California, USA, with a workforce of 201-500 employees. Its website is https://www.invisible.co/.Company H1B SponsorshipInvisible Technologies has a track record of offering H1B sponsorships, with 6 in 2026, 9 in 2025. Please note that this does not guarantee sponsorship for this specific role.