Prompt Engineer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Quick Facts -

  • Engagement | Hourly, at‑will contractor
  • Schedule | Fully remote & asynchronous (min. 10 hrs/week)
  • Pay Range (US) | $25 – $100 per hour
  • Start Date | Rolling — staffed as projects launch


what will you do

  • Write and test effective prompts for different use cases (content, coding, customer support, etc.)
  • Fine-tune AI model responses to match brand tone and accuracy
  • Research and experiment with new AI tools and prompt techniques
  • Collaborate with teams to build chatbots and automation workflows
  • Maintain prompt libraries and improve results based on feedback


You're a great fit if

  • Bachelor’s degree in

    any field

    (Arts, Science, Commerce, Engineering — all accepted)
  • Good

    English writing and communication skills

  • Basic understanding of

    AI tools (ChatGPT, Gemini, etc.)

    Interest in technology, creativity, and problem-solving
  • No coding required (but knowing a bit)


About the role

  • Flexible workload — work from anywhere, on your own schedule
  • High impact — your craft directly improves models used by top AI labs & Fortune 500 teams
  • Clear ownership — know exactly what success looks like and have autonomy to deliver
  • Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs
  • Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.


Interview Process-

  • Click on the Apply link and sign up.

  • Upload your resume and complete the ID verification.

  • After verification, go to the Home Page.

  • Click on “Start Interview with Zara” – the 15 min AI interview will be based on your resume.

  • Complete the interview to proceed with onboarding.


About Company-

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins, and trusted by leading research labs and enterprises worldwide.

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