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VBT Task Author-AI Research Analyst

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VBT Task Author-AI Research Analyst

ZettaMine Labs Pvt. Ltd.

VBT Task Author-AI Research Analyst

Skills

Testing & QAAI

8 days ago

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Important information


Contract type:

Permanent

Location:

Bangladesh

Work mode:

Remote

Published on:

19 October 2026

What they need


Hello,

Greetings from ZettaMine!!!

Freelancing Opportunity: We are hiring VBT Task Authors for a short-term AI Research, Benchmark Task Creation, and Red-Teaming project focused on evaluating and identifying weaknesses in advanced AI models.

Eligible Locations: Bangladesh, India, Indonesia, Egypt, Ghana, Nigeria, Turkey, Brazil, and Colombia.

Role: VBT Task Author-AI Research Analyst

Experience: 3+ Years preferred

Mode: Remote

Commitment: Full-time (40 hours/week) or Part-time (20 hours/week)

Working Hours: Minimum 4 hours of overlap with PST working hours.

Mandatory Eligibility Criteria

Technical Qualification:

  • Strong analytical, problem-solving, and investigative research skills.
  • Intermediate-to-advanced web research and Open Source Intelligence (OSINT) capabilities.
  • Ability to discover hard-to-find facts using academic archives, public records, local databases, and other reliable sources.
  • Experience in fact-checking, AI benchmark task authoring, red-teaming, investigative research, or technical quality assurance.
  • Familiarity with AI benchmarks such as GAIA, BrowseComp, SimpleQA, SWE-bench, Terminal-Bench, or Humanity’s Last Exam (HLE).
  • Ability to write clear, precise, and unambiguous research prompts with evidence-backed answer keys.
  • Strong attention to detail when verifying sources, identifying contradictions, and documenting source URLs.
  • Ability to analyze AI model outputs, search logs, and research trajectories to identify errors and reasoning weaknesses.

Educational Qualification:

  • Mandatory: Bachelor's degree or higher in a relevant engineering domain.
  • Strong research, technical analysis, and documentation skills are preferred.

Experience:

  • Experience in investigative research, fact-checking, AI benchmark task creation, red-teaming, or technical QA review is preferred.
  • Prior experience designing challenging research tasks that expose weaknesses in advanced AI models is an advantage.
  • Familiarity with AI model evaluation frameworks and benchmark testing is beneficial.

Availability:

  • Full-time commitment of 40 hours per week or part-time commitment of 20 hours per week .
  • Minimum 4 hours of overlap with PST working hours .
  • Ability to complete assigned research and benchmark tasks within the project timelines.
  • Availability for the full 4-week engagement .

Others:

  • Ability to work independently in a remote environment.
  • Strong written communication and documentation skills.
  • Ability to validate information using primary or highly credible sources.
  • Experience with prompt-injection or reasoning-trap tasks is an advantage.
  • Prior experience as a benchmark reviewer, auditor, or quality lead is preferred.
  • Reliable computer/laptop and stable internet connection.

What You’ll Work On

  • Research niche topics to discover difficult-to-find facts that challenge advanced AI models.
  • Verify factual information using primary sources and credible references.
  • Develop clear, evidence-based benchmark tasks designed to test AI research and reasoning capabilities.
  • Create precise answer keys supported by reliable evidence and exact source URLs.
  • Test benchmark tasks against designated state-of-the-art AI models to identify potential weaknesses.
  • Analyze model outputs, search logs, and intermediate results to determine where and why failures occur.
  • Distinguish genuine model limitations from ambiguous prompts or insufficient evidence.
  • Identify recurring failure patterns and apply them across different research domains.
  • Review tasks created by other contributors to ensure accuracy, clarity, and quality.
  • Maintain consistent documentation and follow project evaluation guidelines.

Perks of Freelancing

  • Fully remote work environment.
  • Flexible full-time or part-time commitment.
  • Opportunity to contribute to advanced AI training and evaluation projects.
  • Hands-on experience with AI benchmarking, investigative research, and red-teaming.
  • Opportunity to help improve the research and reasoning capabilities of next-generation AI models.

Interested candidates are requested to share their updated CV with us at [email protected]

Thanks & Regards,

Saranya M (Afreen)

ZettaMine

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