23 jobs for "Field Quality Engineer"

Responsibilities

The AI Data Service and Operations (ADSO) team is responsible for providing safety and non-safety data annotation services and search operation services for all of the company's international products, which can also help international products build their own data ecological security.

- Develop, refine, and maintain Operational Guidelines for assigned policy areas, translating policy intent into clear, actionable instructions and ensuring alignment with policy changes, platform updates, and operational best practices.
- Produce, validate, and maintain high-quality Testing Sets for calibration, QA evaluation, arbitration, and operational assessments, ensuring balanced coverage of scenarios, content types, and edge cases.
- Analyze complex, ambiguous, and high-risk cases to provide structured clarifications, reduce enforcement discrepancies, and inform OG and Testing Set improvements.
- Support arbitration, QA, training, and calibration workflows by identifying misapplication patterns and operational gaps, driving measurable improvements in reviewer accuracy and consistency.
- Collaborate cross-functionally with Policy, Governance, Product, Engineering, Algo, and Training teams to ensure OGs and Testing Sets are scalable, actionable, and effectively translated into SOPs and training materials.
- Track quality and operational metrics to identify improvement opportunities and drive continuous enhancements in enforcement accuracy, workflow efficiency, and cross-team effectiveness.
- Contribute to ad-hoc quality and governance initiatives that enhance enforcement quality, operational effectiveness, and team performance.

Qualifications

Minimum Qualifications
- Bachelor's degree or equivalent experience; 1+ years of experience in quality assurance, training, editorial review, or a related field;
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements. Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
- Excellent written communication skills with emphasis on precision, clarity, and operational feasibility.

Preferred Qualifications
- Prior experience in content moderation, AI, or technical writing teams is a plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.

Responsibilities

Qualifications

Qualifications

Minimum Qualifications
- Bachelor's degree or equivalent experience; 1+ years of experience in quality assurance, training, editorial review, or a related field;
- Expertise in content moderation policy, operational guideline development, and enforcement workflows.
- Strong command of English with exceptional attention to detail, clarity, and linguistic consistency.
- Demonstrated ability to interpret and enforce complex guidelines or policies in writing-focused workflows.
- Analytical thinker with experience evaluating qualitative content and using data to inform process improvements. Ability to design and deliver interactive, engaging training materials and sessions.
- High level of self-motivation, solution-oriented thinking, and ability to multi-task, prioritize, and meet strict deadlines in a fast-paced, collaborative environment.
- Excellent written communication skills with emphasis on precision, clarity, and operational feasibility.

Preferred Qualifications
- Prior experience in content moderation, AI, or technical writing teams is a plus.
- Familiarity with machine-executable logic, labeling frameworks, or test-set workflows.
- Experience collaborating with Policy, Product, Governance, Engineering, or Training teams.
- Knowledge of scenario coverage, positive/negative balance, and dataset validation.

About TikTok

TikTok is the leading destination for short-form mobile video and our mission is to inspire creativity and bring joy.

Size: 5,001 - 10,000 employees
Industry: Entertainment & Gaming

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