Machine Learning Expert

Machine Learning & Coding Expert (SME) role at Invisible Expert Marketplace We are seeking a highly experienced Coding / Machine Learning professional to serve as a consultant on AI training data projects for leading AI model builders and enterprises. Your focus will be to define success criteria, review outputs, and provide targeted guidance to improve quality and speed — directly contributing to the successful delivery of domain‑specific annotated datasets that meet the highest technical standards. You will be engaged on specific projects with clearly defined deliverables, milestones, and end dates. Technical Standard Setting, Quality Control, and Process Improvement Define domain‑specific quality success metrics. Develop project‑specific SOPs, QA rubrics, and reference materials for the specific purpose of meeting client technical standards. Review project outputs (code annotations, model configurations) against technical standards, flagging and correcting defects before client delivery. Return work to contractors with precise remediation notes. Provide advisory input on tools, frameworks, workflows, and processes to meet quality benchmarks. evaluation of new model architectures, data formats, or API changes, drafting acceptance criteria or technical workarounds. Participate in vetting and assessing technical contractor talent for specific projects, including code review tests and ML task evaluations. Review sample work from contractors and provide precise, actionable written feedback to improve outputs. Create targeted training or calibration resources — e.g., Project Delivery Support Advise on technical scoping and requirements during project setup, including choice of programming languages, ML frameworks, and data preprocessing pipelines. Provide expert guidance for edge cases, technical exceptions, and specification changes during the project lifecycle. Contribute to post‑project reviews to capture lessons learned and improve future standards. model accuracy drift, overfitting patterns, data leakage issues). Build dashboards or trackers with defect categories and recurrence to surface production insights that improve project outcomes. Conduct post‑mortems, analyze defect trends, and propose process tweaks or training refreshers. Deep technical expertise and 5+ years professional experience in software engineering, machine learning, or data science, with demonstrable industry impact. Python, C++, Java) and experience with leading ML frameworks (e.g., PyTorch, TensorFlow, scikit‑learn). Proven ability to set, enforce, and maintain high technical standards in software development and ML workflows. Experience producing technical documentation, quality rubrics, or training resources. Ability to work within fixed project timelines and scope. Fluency in spoken and written English, with clear and concise writing skills. Example Data Annotation Potential Scope Machine Learning : Model training/explanation, bias detection, evaluation metric analysis. Deep Learning : Neural net architecture design, backpropagation walkthroughs. Natural Language Processing (NLP) : Text classification, summarization, sentiment analysis. MLOps / Deployment : Model lifecycle support, pipeline design, monitoring/rollback flows. Hypothesis testing, regression diagnostics, p‑value calculation. Data Engineering : Data pipeline logic, cleaning steps, schema validation. Time Series Analysis : Data Storytelling : We offer a pay range of $25‑to‑$100 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. Machine Learning & Coding Expert (SME) Contract Remote Senior Level #