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Remote Data Annotation Operator; AI Training

Remote / Online - Candidates ideally in
Indianapolis, Hamilton County, Indiana, 46262, USA
Listing for: The Elitejob
Full Time, Part Time, Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, Data Entry
Salary/Wage Range or Industry Benchmark: 20664 - 34440 USD Yearly USD 20664.00 34440.00 YEAR
Job Description & How to Apply Below
Position: Remote Data Annotation Operator (AI Training)
Location: Indianapolis

Job Summary

Upwork is seeking meticulous and detail-oriented Remote Data Annotation Operators to support AI model development and training. In this role, you will play a key part in labeling, tagging, and categorizing large datasets that help enhance artificial intelligence systems. Your work will directly contribute to improving the accuracy, reliability, and ethical use of machine learning applications. This fully remote position offers flexible working hours, making it ideal for professionals who excel in accuracy, organization, and time management.

Key Responsibilities
  • Accurately label, classify, and annotate data such as text, images, audio, and video to support machine learning and AI model development.

  • Follow detailed guidelines and annotation protocols to ensure consistency and data quality.

  • Conduct data validation and error-checking to maintain high annotation accuracy.

  • Collaborate with project managers, AI engineers, and quality assurance teams to clarify annotation requirements.

  • Identify and report inconsistencies, anomalies, or unclear data samples.

  • Meet daily or weekly productivity and quality benchmarks as defined by project goals.

  • Maintain confidentiality and data integrity at all times.

Required Skills and Qualifications
  • Strong attention to detail and commitment to accuracy.

  • Proficiency in using data annotation tools and platforms (training provided if needed).

  • Good written and verbal communication skills in English.

  • Ability to follow complex guidelines and adapt to project changes.

  • Basic computer literacy (Microsoft Excel, Google Sheets, and web applications).

  • Self-motivated, disciplined, and comfortable working independently.

Experience
  • Previous experience in data annotation, data entry, transcription, or quality control is an advantage but not mandatory
    .

  • Freshers with strong analytical and observational skills are encouraged to apply.

Working Hours
  • Flexible remote schedule — you can choose your own hours.

  • Part-time and full-time opportunities available.

  • Must be able to meet project deadlines and productivity targets.

Knowledge, Skills, and Abilities
  • Understanding of data privacy and ethical handling of sensitive information.

  • Ability to quickly learn and apply new AI annotation standards and tools.

  • Problem-solving and critical thinking capabilities to ensure data quality.

  • Basic knowledge of AI or machine learning concepts is a plus.

Benefits
  • 100% remote work – work from anywhere with an internet connection.

  • Competitive hourly pay or project-based compensation.

  • Opportunity to gain hands-on experience in the fast-growing AI and data industry.

  • Work flexibility to balance other professional or academic commitments.

  • Career growth potential in data operations, AI training, and quality assurance.

Why Join Upwork

Upwork connects skilled professionals from around the world with leading global companies and projects. As a Remote Data Annotation Operator
, you will be part of an innovative team shaping the future of artificial intelligence. You will have the freedom to work remotely, learn from AI experts, and contribute to meaningful technology that impacts millions of users worldwide.

How to Apply

Interested candidates can apply directly through the Upwork platform by creating a freelancer profile and submitting their proposal for the Remote Data Annotation Operator (AI Training) listing.
Ensure your profile highlights your attention to detail, accuracy, and familiarity with data-related tasks. Shortlisted candidates will be contacted for a skills assessment or test project.

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