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Qa Engineer Remote

  • Qa Engineer Remote job type Posted on: Oct 16, 2026
  • Qa Engineer Remote experience level Pro Integrate
  • Qa Engineer Remote employment type New York City, New York
  • Qa Engineer Remote employment type Remote
  • Qa Engineer Remote salary Full-time

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Job Title :

Qa Engineer Remote

Job Type :

Full-Time

Job Location :

New York City New York United States

Remote :

Yes

Jobcon Logo Job Description :

Role Title: QA Engineer

Role Type: Contractor

Location: Remote

Required Skills
software quality assurance
test case design
test execution
defect reporting
data annotation
data labeling
ai model evaluation
documentation
english communication
cross-functional collaboration

micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.

Scope of Work

  1. Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
  2. Review, annotate, and label data sets to enhance machine learning model training accuracy.
  3. Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
  4. Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
  5. Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
  6. Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
  7. Provide actionable recommendations to optimize data quality and model performance.

Preferred Qualifications

  1. Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
  2. Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
  3. Proficiency in English at B2 level or above for effective collaboration and reporting.

Jobcon Logo Position Details

Posted:

Oct 16, 2026

Reference Number:

1137-38270

Employment:

Full-time

City:

New York City

Job Origin:

CIEPAL_ORGANIC_FEED

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Role Title: QA Engineer

Role Type: Contractor

Location: Remote

Required Skills
software quality assurance
test case design
test execution
defect reporting
data annotation
data labeling
ai model evaluation
documentation
english communication
cross-functional collaboration

micro1 is engaging QA Engineers to contribute to an AI training project with a forward-thinking customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required - your domain knowledge is what matters. This opportunity is ideal for those passionate about quality assurance and eager to be at the forefront of AI innovation, with a focus on data integrity, annotation, and comprehensive model evaluation.

Scope of Work

  1. Design, execute, and document test cases and scenarios to validate AI outputs against defined requirements.
  2. Review, annotate, and label data sets to enhance machine learning model training accuracy.
  3. Evaluate, analyze, and report on model predictions, identifying inconsistencies, errors, or patterns for continuous improvement.
  4. Collaborate with cross-functional teams to communicate findings, raise questions, and clarify project requirements.
  5. Contribute to the development and refinement of testing methodologies specific to AI-driven systems.
  6. Maintain detailed, organized records of evaluations, test results, and feedback through written documentation.
  7. Provide actionable recommendations to optimize data quality and model performance.

Preferred Qualifications

  1. Hands-on expertise in software quality assurance, with a strong understanding of test planning and defect reporting.
  2. Prior experience with data labeling, annotation, reinforcement learning from human feedback (RLHF), or model evaluation.
  3. Proficiency in English at B2 level or above for effective collaboration and reporting.

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