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Remote electrical engineering jobs

Electrical engineering subject-matter experts support AI development by teaching models how real hardware and signals behave. Typical tasks include labeling circuit diagrams, identifying electronic components, validating sensor and oscilloscope traces, and checking model responses about circuitry or hardware workflows. OpenTrain connects people with these specialist projects — you can build a profile, qualify on domain tasks, and apply to remote, project-based roles that lean on your EE knowledge and attention to technical detail.

8 open positions

PhD Engineer for AI Training (Electrical, Mechanical, Chemical)

Join a remote, part-time contractor project to write authoritative engineering prompt responses and evaluate model outputs; PhD required in Electrical, Mechanical, or Chemical Engineering. Expect 20+ hours/week and competitive pay up to $90/hr.

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Generative Ai Rlhf
Remote · Worldwide
English
Part-time · Flexible
Entry level
Hourly · $80–$90/hr

Posted Jun 30, 2026

Electronic Engineer, Qucs-S Expert

Join a remote-first contract role as an expert Electronic Engineer specializing in Qucs-S circuit simulation; 20+ hours/week with compensation $50–$120/hr (listed $120/hr). Lead simulation, documentation, and cross-functional design for global projects.

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Coding Software
Remote · Worldwide
English
Part-time · Flexible
Expert level
Hourly · $50–$120/hr

Posted Jun 30, 2026

Electrical Systems Documentation Reviewer

Contribute electrical systems expertise to train AI by annotating schematics, wiring diagrams, and technical manuals on a remote, part-time contract (20+ hrs/week). $40–$50/hr; worldwide; work asynchronously through OpenTrain for OpenTrain.

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General Annotation
Remote · Worldwide
English
Part-time · Flexible
Entry level
Hourly · $40–$50/hr

Posted Jun 28, 2026

Telecommunications AI Trainer

Join OpenTrain as a remote Telecommunications AI Trainer to evaluate AI-generated telecom content, document protocols, and provide expert feedback; flexible contract, 20+ hours/week with pay ranging $20–$75/hr. Ideal for telecom professionals who can explain complex systems to both technical and non-te

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Generative Ai Rlhf
Remote · Worldwide
English
Part-time · Flexible
Intermediate level
Hourly · $20–$75/hr

Posted Jun 27, 2026

Electrical Engineering with Python (Degree Required)

Create original, Python-solved electrical engineering problems and verified solutions for AI training. Requires an EE degree, 2+ years of professional or teaching experience, strong Python with NumPy/SciPy/Pandas, and clear reproducible documentation.

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Coding Software
Remote · Worldwide
Part-time · Flexible
Intermediate level
Hourly · $15–$50/hr

Posted Mar 29, 2026

Automotive CAN Signal Capturing Dataset Generation

Contractor role to generate a dataset that maps natural-language vehicle use cases to the CAN signals needed to address them; subject-matter expertise in automotive/CAN is mandatory. Fixed-price contract (USD 2000), remote, intermediate-level.

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Data Collection
Remote · Worldwide
Flexible hours
Intermediate level
Fixed price · $2000

Posted Dec 15, 2025

Automotive Engineering QA / AI Trainer (3+ yrs Eng + Python)

Remote contract role reviewing automotive engineering prompts and LLM responses; requires 3+ years in automotive engineering, practical Python skills, strong technical writing, and pays $40/hr for under 20 hrs/week.

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Generative Ai Rlhf
Remote · Worldwide
Part-time · Flexible
Entry level
Hourly · $40/hr

Posted Oct 1, 2025

Mandarin question answer pairs for electrical engineering

Review 50–100 Mandarin question–answer pairs for electrical engineering, match each answer to supporting documents, and ensure every response is fully cited for RAG workflows. Contract, remote role at $40/hr with a 20+ hours/week commitment.

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Generative Ai Rlhf
Remote · Worldwide
Part-time · Flexible
Intermediate level
Hourly · $40/hr

Posted Feb 3, 2025

What this work involves

AI-training projects that need electrical engineering expertise ask humans to give structured, reliable answers about hardware, signals, and electronic designs. Common activities include annotating schematics and PCB images, labeling components and net names, classifying waveform features, transcribing and clarifying instrument readings, and reviewing or rating model-generated technical explanations.

Work is usually task-based and guided by detailed instructions and examples. Expect qualification exercises and small training sets that show how clients want nuanced decisions handled — for example, whether a trace is power or signal, how to mark multi-layer PCB features, or how to interpret a noisy oscilloscope trace. Accuracy, consistency, and clear justification where required are essential.

  • Annotating schematics and PCB photos: mark components, nets, vias, and connectors.
  • Labeling and classifying sensor/oscilloscope traces, EMI patterns, and signal anomalies.
  • Reviewing and rating model explanations of circuit behavior or troubleshooting steps.
  • Transcribing technical notes, test procedures, and measurement readouts with domain context.

Skills and knowledge that help

Projects range from entry-level tasks that require careful attention to specialist work that rewards formal training. Useful knowledge includes component identification (resistors, capacitors, ICs, connectors), schematic reading, basic circuit analysis (DC/AC behavior), familiarity with common test equipment (multimeter, oscilloscope, signal generator), and exposure to PCB layouts and layer concepts.

Technical communication skills — clear, concise written explanations and consistent use of terminology — improve your evaluation scores on many tasks. Experience with EDA tools, SPICE, or signal-processing concepts can be an advantage on higher-complexity projects, but many tasks use visual pattern recognition and rule-based decision-making rather than tool-specific workflows.

  • Familiarity with schematics, PCB images, and common electronic symbols.
  • Ability to interpret basic waveform features (frequency, amplitude, noise, transient).
  • Careful attention to labeling consistency and following annotation guidelines.
  • Comfort documenting reasoning when guidelines ask for justification or edge-case notes.

Who tends to do well

This work fits a wide range of electrical engineering backgrounds: students and recent graduates who want flexible, remote technical work; technicians and lab engineers accustomed to reading schematics and instrument outputs; hardware hobbyists who identify components and interpret waveforms; and experienced engineers who prefer higher-complexity review tasks or model-evaluation roles.

People who do well combine domain knowledge with patience for repetitive, detail-focused work. If you enjoy pattern recognition, can follow tight annotation rules, and are comfortable explaining technical choices in concise text, you’ll be a strong candidate for many EE-focused projects.

  • EE students and educators seeking flexible, project-based tasks.
  • Lab technicians and field engineers with hands-on experience reading instruments.
  • Hardware hobbyists skilled at identifying components and interpreting boards.
  • Experienced engineers for advanced review, validation, and model-feedback roles.

How hiring and projects work on OpenTrain

Create a free OpenTrain profile to list your skills and languages, then browse projects that request electrical engineering expertise. Many projects use short qualification tasks or quizzes so clients can confirm annotators understand their guidelines. Passing a qualification usually unlocks access to the main task pool.

Assignments are typically remote and project-based. Workflows provide detailed instructions, visual examples, and sometimes discussion threads where annotators can ask clarifying questions. Follow project-specific rules closely, complete qualification and onboarding tasks, and build a history of accurate, consistent work to access more specialized or higher-responsibility roles.

  • Set up a profile highlighting EE skills, tools, and domains you know (schematics, signal analysis, PCB work).
  • Expect qualification tests and guided examples before major tasks are assigned.
  • Work remotely, following project rules; reliable, accurate contributions increase future opportunities.
  • Ask clarifying questions in-task when guidelines leave technical edge cases ambiguous.

Frequently asked questions

Do I need a formal electrical engineering degree to get these roles?
Not always. Some projects are designed for people with practical familiarity—component ID, schematic reading, or waveform interpretation—so technicians, hobbyists, and students can qualify. Other tasks require deeper domain knowledge and may ask for proven experience. Each project lists its expectations and qualification steps; use those to decide whether to apply.
Are these projects remote and flexible?
Yes. AI-training and data-labeling projects are typically remote and task-based, letting contributors choose hours within project rules. The exact flexibility varies by project: some have ongoing queues you can dip into, others are time-limited batches. Check each project’s description and qualification details to understand cadence and deadlines.
How does pay and assignment structure generally work?
Projects are usually scoped and paid per task, per batch, or per hour depending on the client and the nature of the work. OpenTrain lists project details and how contributors are compensated; qualification tests and small onboarding tasks are commonly used before you gain access to paid work. Avoid offers outside the platform and follow project instructions for submitting completed work.
How should I handle proprietary or sensitive design information?
Many projects use scrubbed or synthetic data, but when real designs are involved, follow the project’s confidentiality rules and non-disclosure instructions. Never share proprietary files outside the approved workflow. If a task asks you to transcribe or annotate sensitive material, ensure you understand and accept the confidentiality terms before participating.
What file types and tools will I encounter?
Tasks usually present images, PDFs, or waveform screenshots and provide in-browser annotation tools or simple upload forms. Some advanced projects may reference CAD exports or signal files, but most work is performed through the platform’s interface with clear examples. Familiarity with common file types (PNGs, PDFs, CSVs) and basic image zooming and measurement concepts is helpful.
Explore the Electrical Engineering career path →