English (US) Audio Generalist Evaluator Expert
Remote · Contract · Generalist · $50/hr
Mercor is seeking an English (US) Audio Generalist Evaluator Expert 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 English (US) and enjoy translating complex audio and visual information into precise, well-structured text.
Job Responsibilities
Transcribe and Optimise Audio & Video
Listen to, analyse, and transcribe audio and video content in English (US), following detailed constraints and instructions.
Produce high-quality written outputs in English, with supporting work in English when required.
Ensure clarity, accuracy, and strict adherence to formatting and stylistic guidelines.
Capture nuances such as tone, intent, formal vs. informal register, regional expressions, and spoken American English variations where relevant.
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 English.
Document standards to ensure consistency across reviewers and model evaluations.
Identify linguistic nuances, grammatical complexities, colloquialisms, dialectal variations, and edge cases specific to American English.
Conduct Model Testing and Grading
Run prompts through language models and assess generated outputs.
Evaluate responses against predefined criteria for accuracy, completeness, fluency, and instructional clarity.
Provide structured feedback to improve model performance in English audio tasks.
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.
Native or near-native fluency in English (US) (spoken and written).
Strong familiarity with American English spoken language, regional vocabulary, accents, and contemporary usage.
Ability to accurately transcribe and analyse English audio content across general consumer contexts.
Available to commit 10–20 hours per week.
Preferred Qualifications
College students or recent graduates.
Background in linguistics, humanities, social sciences, journalism, translation/localization, or technical disciplines.
Prior experience with transcription, annotation, localisation, evaluation, or research workflows in English.
Familiarity with regional dialects and variations of American English.
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.
Listing sourced from Mercor. Annotation Academy is independent of these platforms and does not guarantee work or pay. See our disclosures.