Spanish-Speaking AI Content Analyst

You will help improve language models by working with written content and model responses. The role combines Spanish and English language skills with research, analysis, question answering, scenario creation, and detailed feedback.

You will explain accurate answers, check claims, break complex information into logical parts, and identify errors in model responses. Examples may include sales trends, logical constraints, data interpretation, and basic arithmetic.

• Read, summarize, and organize written content into clear logical sections.
• Research information online and validate claims.
• Answer analytical and reasoning questions with accurate explanations.
• Create scenarios and examples for language model training.
• Review model answers, identify errors, and provide constructive feedback.
• Produce detailed annotations and communicate decisions clearly.

What It Pays and Takes

This is a remote, freelance contractor assignment with a short-term contract. The listing does not specify a pay rate.

Relevant experience may include business analysis, research, journalism, copywriting, technical writing, editing, or translation. A degree or undergraduate study in engineering, literature, journalism, communications, arts, statistics, or a related field is helpful, but practical experience is also valued.

• Pay: Not specified in the listing.
• Time: At least 20 hours per week.
• Location: Worldwide and remote, with some overlap with US hours.
• Languages: Professional ability in both Spanish and English.
• Skills: Research, analysis, data interpretation, logical reasoning, and basic arithmetic.
• Work style: Clear writing, creative and lateral thinking, collaboration, self-motivation, and independent remote work.
• Equipment: A reliable desktop or laptop and internet connection.
• Helpful tools: Excel and Google Suite.

How It Works

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

About AI Training Work

AI training is the human work behind systems that generate and understand language. Contributors write examples, review model answers, check facts, and explain what makes a response accurate so models can improve.