to contribute to a high-impact audio AI research project with a leading research lab. In this role, you will work on
transcription, annotation, and evaluation tasks
that help train and benchmark advanced language models. This is a short-term, structured engagement ideal for candidates with strong academic or analytical backgrounds who are fluent in
Spanish (Argentina) and English
and enjoy translating complex audio and visual information into precise, well-structured text.
##
Job Responsibilities
###
Transcribe and Optimize Audio & Video
Listen to, analyze, and transcribe audio and video content in
Spanish (Argentina)
, following detailed constraints and instructions. - Produce high-quality written outputs, with supporting work in
English when required
. - Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines. ###
Define and Document Evaluation Standards
Establish clear expectations for correct and high-quality responses in general consumer audio contexts. - Develop detailed
evaluation rubrics and grading guidelines
in Spanish (Argentina) and English. - Document standards to ensure consistency across reviewers and model evaluations. ###
Conduct Model Testing and Grading
Run prompts through language models and assess generated outputs. - Evaluate responses against predefined criteria for
accuracy, completeness, and instructional clarity
. ###
Support Benchmarking and Quality Assurance
Participate in QA and review cycles to ensure tasks, rubrics, and outputs meet Mercor’s quality bar. - Maintain consistency and reliability before datasets are integrated into official benchmarks. - Collaborate with project leads to resolve ambiguities and improve task design.
##
Minimum Qualifications
Strong writing, editing, and critical thinking skills. - Ability to work independently, manage time effectively, and meet deadlines. - Fluency in
Spanish (Argentina) and English
(spoken and written). - Available to commit
10–20 hours per week
##
Preferred Qualifications
College students or recent graduates. - Background in linguistics, humanities, social sciences, or technical fields. - Prior experience with
transcription, annotation, evaluation, or research workflows
. - Interest in AI, language models, or applied research environments.
##
Application & Onboarding Process
Complete a short AI-led interview (approximately 15 minutes). - If selected, you will be onboarded and invited to begin project work.
##
Additional Role Details
Work in a structured, goal-oriented project environment with clear tooling, guidelines, and support. - Gain hands-on exposure to real-world AI research and evaluation workflows.
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