> Markdown version of [/jobs/ext/1181918-remote](https://www.wearedevelopers.com/jobs/ext/1181918-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote - **Company:** MAG 24 LLC - **Location:** New York, NY, United States (Remote available) - **Salary:** $176,800.0 - **Contract:** Permanent contract - **Skills:** Training Data, Artificial Intelligence, Signal Processing - **Published:** July 4, 2026 - **Apply:** https://www.careerjet.com/jobad/us7c00ca651c18b84dcb8f8b554ee9b030 ## About the Role * MS or PhD in electrical engineering or a closely related technical field * Strong ability to independently verify ground truth solutions for graduate-level electrical engineering problems * Experience reviewing technical problems, grading methodologies, solution explanations, model outputs, or structured STEM tasks * Strong scientific reasoning and ability to evaluate technical correctness, methodological soundness, and problem clarity * Ability to summarize complex model-generated reasoning trajectories clearly and objectively * Strong attention to detail and ability to identify subtle errors in reasoning, assumptions, calculations, or grading logic * Comfort reviewing AI-generated STEM content and applying detailed evaluation criteria * Excellent written communication skills * Ability to work independently in a remote, asynchronous, project-based environment Nice to Have * Advanced expertise in one or more electrical engineering subdomains, such as circuits, signal processing, control systems, power systems, electromagnetics, communications, semiconductor devices, embedded systems, or related areas * Experience teaching, grading, reviewing, or designing graduate-level electrical engineering problems * Familiarity with rubric-based review, benchmark evaluation, technical QA, research-style assessment, or structured feedback workflows * Experience evaluating multi-step mathematical solutions, simulation-based reasoning, symbolic derivations, or numerical verification * Ability to provide concise, actionable feedback for both technical correctness and training data quality ## Description We are sharing a specialised part-time consulting opportunity for experienced electrical engineering professionals with backgrounds in STEM problem review, graduate-level engineering verification, scientific reasoning, technical evaluation, grading methodology, and structured quality assurance. This role supports current and upcoming remote consulting opportunities focused on AI-assisted STEM training data review, electrical engineering problem evaluation, simulated research environment assessment, ground truth verification, grading rubric review, and high-quality project execution. Selected professionals will review complex STEM prompts, verify expert-level answers, assess model-generated reasoning trajectories, and provide detailed feedback based on electrical engineering expertise and scientific judgment., Professionals in this role may contribute to: Electrical Engineering Problem Review * Review complex STEM and electrical engineering problem prompts for clarity, technical rigor, completeness, and suitability as training data * Independently verify ground truth answers for graduate-level electrical engineering problems * Evaluate whether task prompts require appropriate domain reasoning, clear assumptions, and technically sound solution paths * Identify ambiguous wording, missing constraints, incorrect assumptions, incomplete derivations, or weak problem construction Ground Truth & Grading Quality Evaluation * Assess golden answers for correctness, completeness, mathematical rigor, and alignment with the stated task requirements * Review grading criteria for robustness, objectivity, and consistency across acceptable solution approaches * Determine whether evaluation rubrics properly capture correct reasoning, valid alternatives, numerical tolerances, and common error cases * Provide Accept, Revise, or Reject verdicts with concrete written explanations Simulated Research Review * Assess simulated research environments for scientific realism, construction quality, and diversity * Review seed prompts and multi-agent trajectories to evaluate whether research-style workflows are plausible and technically meaningful * Read and summarize model agent rollouts, including stronger and weaker solution attempts * Identify issues related to unrealistic reasoning, weak scientific setup, poor trajectory diversity, or insufficient domain grounding Structured Feedback & Quality Control * Provide clear written feedback explaining electrical engineering reasoning, grading concerns, task-quality issues, and suggested improvements * Follow standardized review forms, detailed task instructions, and project-specific quality criteria accurately * Review discrete STEM QA deliverables within expected timelines * Collaborate through asynchronous project workflows to improve technical training data quality and AI-assisted STEM evaluation outputs, * Apply electrical engineering expertise to structured remote STEM quality review work * Contribute to high-quality AI-assisted technical evaluation and training data development * Use graduate-level engineering judgment in a focused review and quality-control environment * Work on discrete deliverables aligned with subject-matter expertise and availability * Remote structure with competitive compensation Contract Details * Independent contractor role * Fully remote part-time project work * Expected workload is approximately 2.5 reviews per week, with each review typically requiring 2-4 hours depending on task complexity * Initial engagement may run for approximately three weeks depending on project timeline, onboarding status, and project needs * Work may be structured around STEM QA review, simulated research review, ground truth verification, grading methodology assessment, or task-based assignments * Review windows may include time-limited problem access, with extensions depending on project rules and availability * Professionals may be able to select problems aligned with their domain expertise depending on project structure * Competitive rates of up to $85 USD per hour depending on electrical engineering expertise, review quality, and project scope * Screening may include resume or academic background review, domain alignment assessment, and a brief technical or sample review task * Weekly payments via Stripe or Wise * Projects may be extended, shortened, or adjusted depending on scope and performance * Work will not involve access to confidential or proprietary information from any employer, client, vendor, or institution * Please note: We are unable to support H1-B or STEM OPT candidates at this time About the Platform This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: . ## Related Videos - [Edit Your Future: Queerverse Radical AI](https://www.wearedevelopers.com/videos/909-edit-your-future-queerverse-radical-ai) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Fireside Chat: Deep Learning, Deep Impact: Harnessing AI for Language Innovation](https://www.wearedevelopers.com/videos/612-fireside-chat-deep-learning-deep-impact-harnessing-ai-for-language-innovation) - [Perfect Pitch: Unveiling the Mathematical Symphony Behind a Guitar Tuner](https://www.wearedevelopers.com/videos/1095-perfect-pitch-unveiling-the-mathematical-symphony-behind-a-guitar-tuner) - [Exploring 5 Key Applications of AI Abundance with Blockchain Assurance](https://www.wearedevelopers.com/videos/971-exploring-5-key-applications-of-ai-abundance-with-blockchain-assurance) - [Data Science, ML & AI in the Oil and Gas Industry at NDT Global - Dr. Katja Träumner](https://www.wearedevelopers.com/videos/1308-data-science-ml-ai-in-the-oil-and-gas-industry-at-ndt-global-dr-katja-traumner) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Got AI ideas but no money? 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