
Sofia Melissa Cerna Meneses
@sofiamelissacernamen
I evaluate and train multimodal AI models through RLHF, SFT, and quality auditing.
What I'm looking for
I've delivered AI evaluation and annotation work for Mercor, RWS Group, Lilt, Trustscale, Invisible Technologies, and Telus Digital, training and evaluating LLMs and vision-language models across text, audio, image, and video. My work includes RLHF evaluation, SFT dataset creation, prompt engineering, pairwise comparison, hallucination auditing, and rubric-based scoring.
I've completed 1,000+ multi-constraint prompt evaluations with 98%+ quality adherence, including 500+ end-to-end multimodal evaluations and 300+ speech-to-speech and multimodal outputs. I also bring digital media analytics and dashboard experience from Publicis Global Delivery, where I support campaign setup, pacing, bid optimization, and performance reviews.
Experience
Work history, roles, and key accomplishments
Executed 500+ end-to-end multimodal model evaluations on macOS, testing instruction-following, tone adaptation, and formatting. Conducted pairwise comparisons and authored evidence-based rationales for RLHF datasets.
Education
Degrees, certifications, and relevant coursework
ESIC University
Master's Degree, Digital Marketing
Pursuing a Master's Degree in Digital Marketing.
Universidad del Pacífico
Bachelor's Degree, Business Administration
2015 - 2020
Earned a Bachelor's Degree in Business Administration with a specialization in Marketing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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