Companies

Interview preparation at Dataannotation.tech

Explore public interview preparation plans and role examples for Dataannotation.tech.

1 public plan1 role1 plan creator21 observed questions

Company profile

Industry
Artificial Intelligence
Headquarters
New York, New York, USA
Locations
Remote (global)
Employees
5,857
Company type
startup

Company overview

  • Provides on-demand remote work for training AI models through data labeling, annotation, and evaluation tasks.
  • Differentiates with extreme flexibility—no minimum hours, 24/7 availability, and skill-matched projects paying from $20/hr.
  • Positions as a legit, high-volume platform for contractors seeking AI-related side income or full-time remote work.

Products

  • AI data annotation services
  • Chatbot response evaluation
  • Creative writing tasks
  • Coding projects
  • STEM and professional domain tasks

Culture

  • Fully remote and flexible with no bosses, meetings, or fixed schedules.
  • Independent contractor model focused on self-motivation and high-quality output.
  • Community-driven with helpful admins and worker forums for support.

Values

  • Excellent writing and critical reasoning abilities.
  • Detail-oriented, creative, and self-motivated individuals.
  • High-quality work ethic for qualification into unlimited projects.

Current moment

Ongoing expansion with consistent work availability and positive payment track record.

Selection timeline

  1. Application Submission

    Submit an online application via the DataAnnotation.tech website, providing an email and phone number for verification. Receive a welcome message with access to the Starter Assessment. This stage takes about 5-10 minutes.

  2. Starter Assessment

    Complete a 45-minute to 1-hour test evaluating writing, fact-checking, critical thinking, and opinion-forming on subjective material. Includes sections like creative writing, comparing chatbot responses based on criteria, multiple-choice questions, and interview-style questions on education and experience. No retakes allowed; focus on thorough, quality responses.

  3. Review and Approval Wait

    Company reviews submissions for accuracy and thoroughness, typically notifying successful applicants via email within a few days to 1-3 weeks. No direct responses for all applicants due to high volume; radio silence is common for those not selected.

  4. Access to Projects (if passed)

    Approved candidates gain platform access to diverse tasks like evaluating chatbots, creative writing, or specialized coding/STEM projects based on skills. Flexible, on-demand work begins immediately with pay starting at $20/hour for general roles.

  5. Specialized Assessment (if applicable)

    For coding, STEM, or multilingual tracks, complete additional 1-2 hour assessments testing Python/JavaScript proficiency, LeetCode-style problems, or domain expertise. Required after general approval for expert projects paying up to $40+/hour.

Observed salary range at this company

$80,000–$120,000 per year

Based on 1 role

Plans by role

Observed interview questions

  1. Describe a difficult decision you had to make quickly.1 occurrence
  2. Describe a situation where you convinced someone of an idea.1 occurrence
  3. Describe a situation where you had to influence a decision.1 occurrence
  4. Describe a situation where you took initiative.1 occurrence
  5. Describe a time you contributed to team morale.1 occurrence

Competencies in public plans

  • Communication10 of 28 observed signals
  • Teamwork8 of 28 observed signals
  • Adaptability4 of 28 observed signals
  • Technical3 of 28 observed signals
  • Leadership2 of 28 observed signals
  • Problem solving1 of 28 observed signals
How to read this evidence

Evidence below is aggregated from the eligible public plans listed on this page. It describes those plans, not the wider job market.

Frequently asked questions

What company details are shown for Dataannotation.tech?
Only available profile details and evidence from eligible public interview plans are shown. Missing details are not inferred.
Do these plans describe every Dataannotation.tech interview?
No. The questions and plan counts describe only the eligible public plans listed here, not every interview or the wider job market.

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