Media Content Evaluator(Audio)

Innodata India; United States; Remote; USD 21,000 - 34,000; Full time

Job summary

Innodata is seeking detail-oriented annotators to support an AI audio evaluation project. You will transcribe English speech, identify speakers, and describe voice characteristics, ensuring accurate labeling of vocal and environmental sounds.

The role requires a Bachelor’s degree or higher, excellent English writing and listening skills, and a strong eye for detail to distinguish subtle audio differences. Remote-friendly workflow with clear quality standards.

Qualifications

• Bachelor's degree or higher is required.
• Preferred background in Linguistics, Voice Coaching/Analysis, Audio Production, or related fields.
• Excellent English writing and listening skills are required.
• Strong attention to detail and ability to distinguish subtle audio differences.

Responsibilities

• Transcribe English speech accurately, including accents, fillers, and repetitions.
• Identify and track speakers, including overlapping conversations.
• Describe voice qualities such as pitch, tone, pace, clarity, and emotion.
• Identify and timestamp vocal expressions and environmental sounds.
• Review machine-generated transcripts and correct errors in content, timing, and speaker attribution.

Skills

English proficiency

Attention to detail

Audio discrimination

Education

Bachelor's degree or higher

Job description

Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers worldwide. We are the AI solutions provider-of-choice for four of the five largest global technology companies, as well as top-tier organizations in finance, insurance, law, healthcare, and more.

With a global workforce of over 5,000 employees and presence in 13 cities across the US, Canada, UK, Germany, Israel, India, Sri Lanka, and the Philippines, we combine advanced ML/AI technologies, subject matter expertise, and secure infrastructure to unlock the full potential of artificial intelligence.

Job Overview:

We are looking for detail-oriented annotators to support an AI audio evaluation project. The role involves transcribing speech, identifying speakers, describing voice characteristics, and accurately labeling vocal and environmental sounds.

Key Responsibilities:

• Transcribe English speech accurately, including accents, fillers, and repetitions.
• Identify and track speakers, including overlapping conversations.
• Describe voice qualities such as pitch, tone, pace, clarity, and emotion.
• Identify and timestamp vocal expressions and environmental sounds.
• Review machine-generated transcripts and correct errors in content, timing, and speaker attribution.

Eligibility Criteria:

• Bachelors degree or above.
• Preferred background in Linguistics, Voice Coaching/Analysis, Audio Production, or related fields.
• Excellent English writing and listening skills.
• Strong attention to detail and ability to distinguish subtle audio differences.