Remote English; Zealand Audio Generalist Evaluator Expert - AI Trainer

Mercor is seeking an English (New Zealand) 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 New Zealand English and enjoy translating complex audio and visual information into precise, well-structured text.

• Listen to, analyse, and transcribe audio and video content in English (New Zealand), 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, Māori loanwords, and contemporary New Zealand English usage where relevant.

• 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 patterns, colloquialisms, cultural references, and edge cases specific to New Zealand English.

• 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 New Zealand English audio tasks.

• 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.

• Strong writing, editing, and critical thinking skills.
• Ability to work independently, manage time effectively, and meet deadlines.
• Native or near-native fluency in English (New Zealand) (spoken and written).
• Strong familiarity with New Zealand English, regional vocabulary, accents, Māori influences, and contemporary language usage.
• Ability to accurately transcribe and analyse English audio content across general consumer contexts.
• Available to commit 10–20 hours per week.

• College students or recent graduates.
• Background in linguistics, humanities, social sciences, journalism, translation/localisation, or technical disciplines.
• Prior experience with transcription, annotation, localisation, evaluation, or research workflows in English.
• Familiarity with differences between New Zealand English, Australian English, and other major English varieties.
• Interest in AI, language models, or applied research environments.

• Complete a short AI‑led interview (approximately 15 minutes).
• If selected, you will be onboarded and invited to begin project work.