3 days ago

Electrical Engineering - AI Data Trainer

Alignerr

Hybrid
Contractor
$99,000
Hybrid

Job Overview

Job TitleElectrical Engineering - AI Data Trainer
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$99,000
LocationHybrid

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Job Description

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

You’ll challenge advanced language models on topics like embedded systems, signal processing, control systems and robotics, and engineering simulations—documenting every failure mode so we can harden model reasoning.

Organization: AlignerrPosition: Electrical Engineering - AI Data TrainerType: Hourly ContractCompensation: $35–$60 /hourLocation: RemoteCommitment: 10–40 hours/week

What You’ll Do

  • Develop Complex Problems: Design advanced electrical engineering problems across domains like circuit analysis, power systems, signal processing, and electromagnetics to test AI performance.
  • Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions and "golden responses" that the AI will use as a benchmark for learning.
  • Technical Auditing: Evaluate AI-generated code, circuit diagrams, and mathematical proofs for technical accuracy, safety, and adherence to engineering standards (e.g., IEEE, NEC).
  • Refine Reasoning: Identify logical fallacies in AI reasoning and provide structured feedback to help the model improve its "thinking" process for engineering tasks.

Requirements

  • Advanced Degree: Masters (pursuing or completed) or PhD in Electrical Engineering, Electronic Engineering, or a closely related field.
  • Domain Expertise: Strong foundational knowledge in core areas such as VLSI, control systems, telecommunications, or power electronics.
  • Analytical Writing: The ability to communicate highly technical concepts clearly and concisely in written form.
  • Attention to Detail: High level of precision when checking mathematical equations, circuit logic, and technical documentation.
  • No AI experience required

Preferred

  • Prior experience with data annotation, data quality, or evaluation systems

Why Join Us

  • Competitive pay and flexible remote work.
  • Collaborate with a team working on cutting-edge AI projects.
  • Exposure to advanced LLMs and how they’re trained.
  • Freelance perks: autonomy, flexibility, and global collaboration.
  • Potential for contract extension.

Application Process (Takes 15-20 min)

  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Key skills/competency

  • Electrical Engineering
  • AI Model Training
  • Signal Processing
  • Control Systems
  • Embedded Systems
  • Circuit Analysis
  • Power Electronics
  • VLSI
  • Technical Writing
  • Data Annotation

Tags:

Electrical Engineering - AI Data Trainer
AI training
electrical engineering
signal processing
control systems
embedded systems
circuit analysis
technical writing
data annotation
VLSI
power electronics
large language models
engineering simulations
AI auditing
problem development
ground-truth solutions
IEEE standards
NEC standards
remote work
contract

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How to Get Hired at Alignerr

  • Research Alignerr's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI Data Trainer: Customize your resume to highlight advanced degrees and expertise in electrical engineering, data quality, and technical writing.
  • Showcase domain expertise: Emphasize your foundational knowledge in VLSI, control systems, and power electronics in your application.
  • Prepare for the screening project: Anticipate questions or tasks related to problem development, solution authoring, and technical auditing for AI models.
  • Demonstrate analytical writing skills: Be ready to articulate complex technical concepts clearly and concisely in written assessments during the interview process.

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