Audio Annotation Specialist (Basic JSON) | $25/hr Remote

Crossing Hurdles; United States; On-site; USD 28,413 - 40,467; Part time

Job summary

Crossing Hurdles is looking for a contractor to evaluate audio recordings for quality and review AI-generated outputs in the United States. The role offers flexible hours with top contributors typically working 40+ hours per week.

Key requirements include a native English accent, strong JSON fluency, and a reliable setup for recording. Experience in technical roles is a plus, but not mandatory.

Qualifications

• Proficient in reading and validating JSON data.
• Ability to pronounce clearly with a native accent.

Responsibilities

• Evaluate audio recordings for quality and nuance.
• Review AI outputs for accuracy and quality.
• Identify issues within JSON-formatted data.

Skills

Native US-English or Canadian-English accent

Strong JSON fluency

Attention to detail

Analytical thinking

Job description

Type: Contract

Compensation: $25/hour (Bi-weekly Payments)

Location: Remote (US or Canada)

Commitment: Flexible hours (top contributors work 40+ hrs/week)

Project Duration: 2-3 months

Start Date: Immediate

Role Responsibilities

• Evaluate audio recordings for quality, accuracy, and nuance
• Review AI-generated outputs for technical accuracy and response quality
• Read, validate, and identify issues within JSON-formatted task data
• Maintain high consistency across large task volumes
• Flag unclear outputs and guideline inconsistencies when needed
• Support quality standards across AI training workflows

Requirements

• Native US-English or Canadian-English accent with clear pronunciation
• Strong JSON fluency (reading, validating, troubleshooting, identifying formatting or structural issues)
• Comfortable with coding concepts and technical content
• Strong attention to detail and analytical thinking
• Ability to follow structured written guidelines
• Quiet recording setup with minimal background noise
• Reliable internet connection and computer access

Nice to Have

• Experience in software engineering, QA, technical writing, annotation, transcription, or AI evaluation
• Experience working with structured datasets or review workflows
• Prior voice or audio work experience (not required)