Original job description
About the Role
In this hourly, remote contract role, you will review and compare AI-generated Python answers and Chinese-language explanations, evaluating reasoning quality and step-by-step problem-solving for correctness and clarity. You will assess solutions for accuracy, completeness, and adherence to the prompt; identify errors in methodology or conceptual understanding; fact-check technical claims; and provide concise expert feedback that helps improve future responses. You will also write high-quality reference explanations and model solutions, and rate multiple responses against consistent rubrics. This position is with SME Careers, a fast-growing AI data services company and subsidiary of SuperAnnotate that provides AI training data to many of the world’s top AI companies and foundation model labs. Your work will directly help improve the world’s premier AI models.
What You'll Do
Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Communicate technical review outcomes clearly in English (C1+), including concise issue summaries and rationale for ratings.
Review AI-generated Python solutions for correctness, edge-case handling, time/space complexity, and idiomatic Python 3.x usage.
Create and QA Mandarin Chinese (Traditional preferred) prompts, constraints, and acceptance criteria for Python coding and debugging scenarios.
Annotate and categorize common Python error patterns (e.g., exceptions, off-by-one, mutation/aliasing, encoding issues) with bilingual (Chinese/English) labels to support consistent evaluation.
What You Bring
1–5 years of relevant professional experience in Python development, code review, debugging, or technical problem solving.
Minimum Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.
Fluency in Mandarin Chinese, with the ability to interpret and evaluate technical content written in Chinese (Traditional Chinese preferred for HK).
English proficiency: Minimum C1 level.
Strong working knowledge of Python 3.x fundamentals (data structures, functions, modules, exceptions), plus practical debugging skills for real-world failures.
Ability to evaluate solution quality using clear criteria (correctness, edge cases, complexity, readability) and apply rubrics consistently across many samples.
Previous experience with AI data training, annotation, or evaluating AI-generated content is strongly preferred.
Detail-oriented and self-directed work style suitable for remote, flexible-hours contract work (accurate labeling, consistent decisions, and reliable turnaround).
Application & Onboarding Process
Apply with your resume/CV highlighting Python experience and Chinese (Mandarin) proficiency.
Complete a short skills screen focused on Python reasoning and bilingual technical comprehension.
Sign a contractor agreement and complete identity/eligibility verification (as applicable).
Complete paid onboarding: guidelines, rubric calibration, and example-based practice.
Begin tasking with ongoing quality spot-checks and periodic calibration.
Job Details
Company: SME Careers
Title: Chinese-Speaking Python Expert (Mid Level)
Employment type: Contract (Hourly)
Location: Remote
Country target: HK
Schedule: Flexible hours; consistent weekly availability is preferred
Pay range (USD/hour): 20–27
Why Join Us
Flexible, remote contract work that fits around your existing schedule.
Direct, hands-on impact on the quality of real AI systems by improving technical accuracy and bilingual clarity.
Clear rubrics and measurable quality expectations, with calibration support to help you be consistent.
Opportunity to apply Mandarin + Python expertise in a structured evaluation and annotation workflow.
Your profile
2–5 years of relevant professional experience in Python development, code review, debugging, or technical problem solving.
Minimum Bachelor's degree in Computer Science, Software Engineering, or a related field or equivalent practical experience.
Fluency in Mandarin Chinese, with the ability to interpret and evaluate technical content written in Chinese (Traditional Chinese preferred for HK).
English proficiency: Minimum C1 level.
Strong working knowledge of Python 3.x fundamentals (data structures, functions, modules, exceptions), plus practical debugging skills for real-world failures.
Ability to evaluate solution quality using clear criteria (correctness, edge cases, complexity, readability) and apply rubrics consistently across many samples.
Previous experience with AI data training, annotation, or evaluating AI-generated content is strongly preferred.
Detail-oriented and self-directed work style suitable for remote, flexible-hours contract work (accurate labeling, consistent decisions, and reliable turnaround).
Key responsibilities
Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.
Communicate technical review outcomes clearly in English (C1+), including concise issue summaries and rationale for ratings.
Review AI-generated Python solutions for correctness, edge-case handling, time/space complexity, and idiomatic Python 3.x usage.
Create and QA Mandarin Chinese (Traditional preferred) prompts, constraints, and acceptance criteria for Python coding and debugging scenarios.
Annotate and categorize common Python error patterns (e.g., exceptions, off-by-one, mutation/aliasing, encoding issues) with bilingual (Chinese/English) labels to support consistent evaluation.
