13 days ago

Systems Engineer, Satellite

DataAnnotation

Hybrid
Full Time
$80,000
Hybrid

Job Overview

Job TitleSystems Engineer, Satellite
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$80,000
LocationHybrid

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Job Description

About the Role

The Systems Engineer, Satellite at DataAnnotation will join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve model quality.

Responsibilities

  • Give AI chatbots coding challenges and evaluate their outputs.
  • Evaluate the quality of AI models for correctness and performance.

Qualifications

  • Expert understanding of physics including classical mechanics, E&M, thermodynamics, and basic quantum concepts.
  • Knowledge in related fields: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.
  • Fluency in English (native or bilingual level) and detail-oriented.
  • A current, in progress, or completed Master's and/or PhD is preferred but not required.

Benefits

  • Full-time or part-time remote position.
  • Choose your projects and work schedule.
  • Projects paid hourly starting at $40+ USD with bonuses for quality and volume.
  • Payment processed via PayPal with currency conversion handled automatically.
  • This is an independent contract position and only applicants in the United Kingdom will be considered.

Key skills/competency

  • physics
  • astrophysics
  • biophysics
  • electrical engineering
  • nuclear engineering
  • chemical engineering
  • mathematics
  • AI models
  • chatbots
  • remote

Tags:

systems engineer
satellite
physics
astrophysics
AI
remote
engineering
contract
chatbots
evaluation
coding
models
flexible
UK

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How to Get Hired at DataAnnotation

  • Customize your resume: Align skills with DataAnnotation requirements.
  • Research DataAnnotation: Understand company mission and projects.
  • Highlight physics expertise: Showcase relevant academic credentials.
  • Prepare for technical interviews: Review AI and systems engineering challenges.

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