13 days ago

Aerospace Engineer

DataAnnotation

Hybrid
Full Time
$83,200
Hybrid

Job Overview

Job TitleAerospace Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$83,200
LocationHybrid

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Job Description

Aerospace Engineer at DataAnnotation

We are looking for an Aerospace Engineer to join our team to train AI models. In this role, you will measure the progress of AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.

Benefits

This is a full-time or part-time REMOTE position. You’ll be able to choose which projects you want to work on, work on your own schedule, and get paid hourly starting at $40+ USD per hour with bonuses for high-quality and high-volume work.

Responsibilities

  • Provide AI chatbots with diverse and complex problems.
  • Evaluate AI outputs for correctness and performance.

Qualifications

  • Fluency in English at a native or bilingual level.
  • Detail-oriented with strong physics and engineering skills.
  • Expertise in inductive/deductive reasoning and spatial understanding.
  • Master's or PhD (current, in progress, or completed) is preferred but not required.

Additional Notes

Payment is made via PayPal. We will never ask for any money from you. Only applicants in the United Kingdom will be considered for this independent contract role.

Key skills/competency

  • Aerospace
  • Engineering
  • AI Training
  • Evaluation
  • Problem Solving
  • Physics
  • Deductive Reasoning
  • Remote Work
  • Detail-Oriented
  • Contract

Tags:

aerospace engineer
AI training
evaluation
remote
engineering
physics
contract
innovation
problem solving
UK only
aerospace
mechanical
materials science
deductive reasoning
spatial reasoning
AI
chatbots
data
engineering projects
remote work

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How to Get Hired at DataAnnotation

  • Research DataAnnotation's culture: Study their mission, values, and projects.
  • Customize your resume: Highlight your aerospace and AI skills.
  • Prepare for technical questions: Review relevant physics and engineering topics.
  • Practice behavioral insights: Showcase problem-solving and detail-orientation.

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