Quality Assurance Specialist | $11/hr Remote
Crossing Hurdles • Spain
Role & seniority: LLM – AI Quality Analyst (Personalization), Spanish; Short-Term Contract (2 months), part-time
Stack/tools: AI quality evaluation, data annotation, content moderation; requires use of personal Google account and enabling personal data sources; remote/independent work
Top 3 responsibilities
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Evaluate a Gemini personalization feature; design and execute multi-turn prompts using personal information
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Assess use of past conversations/activity, grounding, and hallucination issues; side-by-side evaluations and rank by helpfulness/naturalness
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Write rationales with references to specific turns; extract/verify debug data; maintain data hygiene by deleting evaluation conversations
Must-have skills
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Strong Spanish reading/writing proficiency
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Experience in data annotation, AI quality evaluation, content moderation, or similar
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Analytical thinking, attention to detail; structured feedback and clear written explanations
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Experience with creative prompt engineering and personalization concepts
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Ability to work independently in a remote environment; comfortable using a primary Google account for assessment
Nice-to-haves
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Prior work evaluating personalization features; familiarity with data-source integration and debugging summaries
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Location & work type: Remote (Global); Part-time availability 30–40 hours/week; Short-Term Contract (2 months); Compensation $11/hour
Full Description
Position: LLM – AI Quality Analyst (Personalization) – Spanish
Type: Short-Term Contract (2 months)
Compensation: $11 per hour
Location: Remote (Global)
Commitment: Part-time availability required (30–40 hrs/week)
Role Responsibilities
Evaluate a personalization feature for Gemini Design and execute multi-turn conversational prompts that require the AI to utilize personal information and experiences Assess how effectively the model uses past conversations and activity to generate relevant and helpful responses Evaluate model responses based on intent and appropriate personalization Analyze responses for grounding issues, including flawed inferences or hallucinations Assess integration quality to ensure personal data is incorporated naturally into responses Perform side-by-side evaluations and stack-rank model responses based on helpfulness and naturalness Write clear rationales referencing specific conversation turns Extract and verify debug information to confirm correct use of summaries and data sources Maintain data hygiene by deleting evaluation conversations after completion
Requirements
Experience in data annotation, AI quality evaluation, content moderation, or related roles Strong Spanish proficiency (reading and writing) Willingness to use a primary personal Google account and enable personal data sources for assessment Strong analytical thinking and attention to detail Experience with creative prompt engineering and personalization concepts Ability to provide structured feedback and clear written explanations Ability to work independently in a remote environment
Application Process (Takes 20 Mins)
Fill out the application form Complete the ICF Complete the assessment
