We are looking for native Chinese Experts from Taiwan to contribute on our on-going AI/LLM project.
Position Overview:
- Job Title: Chinese Language Expert
- Experience Level: Degree in Linguistics or a related field
- Location: Remote | Freelance
- Language: Chinese
- Location: Taiwan (native)
- Mandatory: To complete LLM Evaluation assessment by coming Sunday, September 28th.
- LLM Evaluation Assessment Link: https://icap.innodata.com/registerfreelancerenc=oUTZVsr/Pnz/0Xygc2EK32MdtinqnjC9vy8RU3Ha4EP5XfySiaGIBP8Cxl4qcKu2lYthJblueSandPblueSandddNWdugfpU7t2wezikielezikiel
LLM Evaluation Guidelines:
- No. of Questions: 122
- No. of Sections: 7
- Test Duration: 120 minutes (2 hours)
- Total Marks: 122
- Passing Criteria: High (Get at least 100+ questions correct to get passed)
- Required: Complete by Sunday, 28th September
- Note: Assessment gets auto submitted after 120 minutes, maintain speed with accuracy.
Job Description:
We are seeking highly analytical and detail-oriented professionals with hands-on experience in Red Teaming, Prompt Evaluation, and AI/LLM Quality Assurance. The ideal candidate will help us rigorously test and evaluate AI-generated content to identify vulnerabilities, assess risks, and ensure compliance with safety, ethical, and quality standards.
Key Responsibilities:
- Conduct Red Teaming exercises to identify adversarial, harmful, or unsafe outputs from large language models (LLMs).
- Evaluate and stress-test AI prompts across multiple domains (e.g., finance, healthcare, security) to uncover potential failure modes.
- Develop and apply test cases to assess accuracy, bias, toxicity, hallucinations, and misuse potential in AI-generated responses.
- Collaborate with data scientists, safety researchers, and prompt engineers to report risks and suggest mitigations.
- Perform manual QA and content validation across model versions, ensuring factual consistency, coherence, and guideline adherence.
- Create evaluation frameworks and scoring rubrics for prompt performance and safety compliance.
- Document findings, edge cases, and vulnerability reports with high clarity and structure.
Requirements:
- Proven experience in AI red teaming, LLM safety testing, or adversarial prompt design.
- Familiarity with prompt engineering, NLP tasks, and ethical considerations in generative AI.
- Strong background in Quality Assurance, content review, or test case development for AI/ML systems.
- Understanding of LLM behaviors, failure modes, and model evaluation metrics.
- Excellent critical thinking, pattern recognition, and analytical writing skills.
- Ability to work independently, follow detailed evaluation protocols, and meet tight deadlines.
Preferred Qualifications:
- Prior work with teams like OpenAI, Anthropic, Google DeepMind, or other LLM safety initiatives.
- Experience in risk assessment, red team security testing, or AI policy & governance.
- Background in linguistics, psychology, or computational ethics is a plus.
