We are sharing a specialised part-time consulting opportunity for professionals with native or near-native New Zealand English fluency and strong transcription, writing, linguistic analysis, annotation, and structured evaluation skills.
This short-term role supports an audio AI research initiative focused on training and benchmarking advanced language models. Selected professionals will transcribe New Zealand English audio and video content, evaluate model-generated outputs, develop grading standards, and document linguistic nuances across regional accents, vocabulary, Mori loanwords, cultural references, and contemporary usage.
Key Responsibilities
New Zealand English Audio & Video Transcription
- Listen to, analyse, and transcribe audio and video content in New Zealand English
- Produce accurate, polished, and well-structured written outputs
- Follow detailed formatting, stylistic, and task-specific instructions
- Capture tone, intent, register, regional expressions, Mori loanwords, accents, and contemporary usage
- Review completed transcripts for clarity, completeness, and linguistic accuracy
Evaluation Standards & Rubric Development
- Define expectations for accurate and high-quality responses in general consumer audio contexts
- Develop detailed evaluation rubrics and grading guidelines in English
- Document scoring standards that can be applied consistently across reviewers
- Identify grammatical patterns, colloquialisms, cultural references, and language-specific edge cases
- Refine guidelines when ambiguity or inconsistent interpretation arises
Model Testing & Output Evaluation
- Run assigned prompts through language models and review generated responses
- Evaluate outputs for accuracy, completeness, fluency, relevance, and instruction adherence
- Assess whether model responses appropriately reflect contemporary New Zealand English
- Identify transcription errors, unnatural phrasing, missed context, and regional inconsistencies
- Provide structured written feedback supporting model improvement
Benchmarking & Quality Assurance
- Participate in review and quality-assurance cycles across tasks, rubrics, and outputs
- Maintain consistency before materials are incorporated into formal evaluation benchmarks
- Review the work of other contributors when required
- Collaborate with project leads to resolve unclear instructions and improve task design
- Apply calibration feedback consistently across assignments
Ideal Profile
Strong candidates may have:
- Native or near-native spoken and written fluency in New Zealand English
- Strong familiarity with New Zealand vocabulary, accents, regional expressions, Mori influences, and contemporary usage
- Excellent writing, editing, critical-thinking, and analytical skills
- Ability to accurately transcribe and analyse English-language audio across general consumer contexts
- Strong understanding of formal and informal language registers
- Ability to work independently, manage deadlines, and follow detailed instructions
- Availability to contribute approximately 10–20 hours per week
Educational Background
- Current college students and recent graduates may be considered
- A background in linguistics, translation, localisation, humanities, journalism, social sciences, communications, or a technical discipline is helpful
- Academic or practical experience involving language analysis, research, annotation, or audio transcription is highly relevant
- Equivalent professional experience in New Zealand English-language content or evaluation work may also be considered
Nice to Have
- Previous experience with transcription, annotation, localisation, language-quality review, or research workflows
- Familiarity with differences between New Zealand English, Australian English, and other major English varieties
- Experience handling regional accents, colloquialisms, Mori loanwords, and cultural references
- Background in benchmarking, data annotation, or structured evaluation
- Familiarity with generative AI, language models, speech technology, or applied language research
- Experience developing grading rubrics, reviewer guidelines, or quality standards
- Previous involvement in multilingual or regional English audio projects
Why This Opportunity
- Apply New Zealand English-language expertise to an advanced audio AI research initiative
- Work across transcription, linguistic analysis, rubric development, and model evaluation
- Help improve how language models understand New Zealand accents, expressions, Mori influences, and cultural context
- Contribute to high-quality benchmarks used in audio and language-model research
- Participate in flexible part-time work with competitive hourly compensation
Contract Details
- Independent contractor role
- Fully remote with flexible scheduling
- Expected commitment of approximately 10–20 hours per week
- Competitive compensation of up to $45 per hour depending on expertise and project scope
- Short-term, structured project engagement
- The selection process may include an AI-led interview lasting approximately 15 minutes
- Weekly payments via Stripe or Wise
- Projects may be extended, shortened, or adjusted depending on scope and performance
- Work will not involve access to confidential or proprietary information from any employer, client, or institution
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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