Turing is one of the world’s fastest-growing AI companies, accelerating the advancement and deployment of powerful AI systems.
Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM, and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Role Overview:
We are seeking highly motivated LLM Annotators to support the evaluation and improvement of cutting-edge Large Language Models (LLMs). In this role, you will analyze structured data, create challenging prompts, evaluate AI-generated responses for factual accuracy and reasoning quality, and provide evidence-backed feedback to improve model performance.
Key Responsibilities
- Create challenging prompts that evaluate an LLM's ability to retrieve, analyze, and reason over structured data.
- Assess AI-generated responses for factual accuracy, logical reasoning, and completeness.
- Identify model failures, inconsistencies, hallucinations, and reasoning gaps.
- Validate model outputs using provided datasets and supporting evidence.
- Document findings with clear, evidence-based explanations.
- Consistently follow annotation guidelines and maintain high-quality standards.
Required Qualifications
- Native or near-native proficiency in Spanish
- Master's degree or higher in any discipline.
- Minimum 3 years of professional, research, or teaching experience.
- Strong analytical and critical thinking skills.
- Excellent written English communication skills.
- Exceptional attention to detail and ability to validate information against source data.
Perks of Freelancing with Turing:
- Work on the cutting edge of AI.
- Fully remote and versátil work environment.
- Exposure to advanced LLMs and insight into how they’re trained.
Offer Details:
- Commitments Required : At least 4 hours per da
📌 LLM Annotator (Argentina)
🏢 Turing
📍 Argentina
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