6 days ago

Data Insights Analyst

DataAnnotation

Hybrid
Full Time
$85,000
Hybrid

Job Overview

Job TitleData Insights Analyst
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$85,000
LocationHybrid

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Job Description

Job Summary

Join DataAnnotation as a Data Insights Analyst, focusing on training AI models. You will be instrumental in measuring the progress of AI chatbots, evaluating their logic, and solving complex problems to enhance the quality of each model.

Responsibilities

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

Qualifications

  • Fluency in English (native or bilingual level).
  • Detail-oriented.
  • Experience with algorithms, data structures, and debugging workflows.
  • A current, in progress, or completed Bachelor's degree is preferred but not required.

Benefits

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

Notes

Payment is made via PayPal. DataAnnotation will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.

Key skills/competency

  • AI Model Training
  • Data Analysis
  • Problem Solving
  • Algorithm Design
  • Debugging
  • Code Evaluation
  • Python
  • JavaScript
  • Quality Assurance
  • English Fluency

Tags:

Data Insights Analyst
AI training
model evaluation
data analysis
problem-solving
debugging
algorithms
data structures
quality assurance
logic testing
coding challenges
Python
JavaScript
C#
C++
HTML
SQL
Swift
LeetCode
HackerRank
AI
chatbots

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How to Get Hired at DataAnnotation

  • Research DataAnnotation's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for AI training roles: Highlight proficiency in Python or JavaScript, experience with algorithms, and debugging.
  • Showcase problem-solving skills: Prepare examples of coding challenges (LeetCode/HackerRank style) and practice explaining your solutions.
  • Demonstrate detail-orientation: Emphasize your ability to evaluate AI model outputs for correctness and performance.
  • Highlight remote work aptitude: If applicable, provide examples of successful independent contract work and self-management.

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