Spanish AI Content Analyst

OpenTrain AI is looking for a Spanish AI Content Analyst to help evaluate and improve the quality of content produced by large language models.

This worldwide remote opportunity is particularly suited to bilingual Spanish-English professionals with strong research, writing and analytical skills. You'll examine AI-generated answers, verify claims, solve reasoning tasks and provide detailed feedback that helps language models become more accurate and reliable.

What you'll be working on

Your work will combine language expertise with research, critical thinking and AI evaluation.

Typical responsibilities include:

• Reviewing AI-generated responses in Spanish and English.
• Researching information online and verifying whether claims are properly supported.
• Identifying factual errors, unsupported conclusions and reasoning problems.
• Solving analytical, logical and basic numerical problems.
• Organizing complex written information into clear, logical structures.
• Creating scenarios and examples that can be used for language-model training.
• Writing detailed annotations explaining why an answer succeeds or fails.
• Providing constructive feedback that can help improve future model outputs.
• Communicating analytical decisions clearly in both Spanish and English.

What they're looking for

You don't need an established career in artificial intelligence to apply. OpenTrain is looking primarily for people who can research carefully, reason through information and communicate their conclusions clearly.

You should have:

• Strong comprehension and writing ability in Spanish and English.
• Good online research and fact-checking skills.
• The ability to distinguish supported information from unsupported claims.
• Strong logical reasoning and data-interpretation skills.
• Confidence with basic arithmetic problems.
• Clear, structured writing and attention to detail.
• Good judgment and the ability to think creatively when approaching unfamiliar problems.
• The ability to work independently in a remote environment.
• A reliable desktop or laptop and internet connection.
• Availability for at least 20 hours per week, including some overlap with US working hours.

Backgrounds that could be a good fit

Relevant professional experience can come from a wide range of fields, including:

• Research
• Journalism
• Business analysis
• Copywriting
• Technical writing
• Editing
• Translation

Experience with Excel and Google Workspace can also be useful for organizing and analyzing information.

Study or experience in areas such as engineering, literature, communications, journalism, arts or statistics may be helpful, but a specific degree isn't listed as a requirement.

Working with large language models

This role goes beyond simply reading AI-generated text.

You'll need to determine whether an answer is factually supported, logically consistent and appropriately reasoned, then explain your assessment clearly enough to provide useful training feedback.

That makes the position particularly relevant for bilingual professionals interested in gaining practical experience with LLM evaluation, AI training and human feedback without requiring an existing AI career.