Spanish-Speaking Personalized AI Response Evaluator

You will test how well conversational AI uses personal context in Spanish. The work combines creative prompt writing with careful review and clear written reasoning.

• Create and run personal-context prompts that usually span one to five conversation turns.
• Check whether responses follow the prompt and use personalization accurately and naturally.
• Find unsupported claims, wrong inferences, hallucinations, forced connections, and unnecessary explanations.
• Compare responses side by side for helpfulness, ease of use, enjoyment, and overall quality.
• Write concise reasons that point to specific conversation turns and give constructive feedback.
• Check debugging details to confirm that summaries and relevant data sources were used correctly.
• Delete evaluation conversations after review to maintain data hygiene.

What It Pays and Takes

This is remote, part-time contract work for an intermediate-level contributor. You should be comfortable making careful judgments about nuanced or ambiguous AI responses and working independently.

• Pay: $15 USD per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote contractor and part-time.
• Language: Strong Spanish reading and writing ability is required.
• Equipment: A reliable computer and internet connection are required.
• Personal account: You must be willing to use a primary personal Google account and enable relevant personal data sources for evaluation.
• Core skills: Creative multi-turn prompt writing, analytical thinking, structured writing, and close attention to detail.
• Helpful background: A bachelor's degree or equivalent experience in policy, law, ethics, linguistics, journalism, computer science, or a related analytical field.
• Related experience in data annotation, AI quality evaluation, content moderation, or similar work is valuable.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training work is the human side of building artificial intelligence. Contributors review and improve model responses, helping AI systems become more accurate, useful, and natural; people with strong language and analytical skills are paid for this judgment.