Senior Backend Engineer, Ai & Llm Systems

Instrumentl

San Francisco (CA)

Hybrid

MXN 331,000 - 1,374,000

Part time

11 days ago

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Job summary

Mercor is seeking an Audio Engineer for a fully remote, contract role to support AI training efforts. The position offers 20 hours per week, with compensation ranging from $13 to $54 per hour and a duration of up to 6 months. Immediate start is available.

You will evaluate AI-generated music, label by genre and instruments, and review lyrics/vocals against references while working asynchronously to meet deadlines and improve model performance.

Qualifications

  • Must be fluent in Spanish (MX) and able to follow detailed instructions in English.
  • 2+ years of experience as a music producer, audio engineer, or mixing engineer.
  • Headphones or studio monitors suitable for critical listening.

Responsibilities

  • Evaluate AI-generated music across genres for musicality, creativity, prompt adherence, vocal quality, and production/mix quality.
  • Label songs by genre, structure, instruments, vocals, and other musical characteristics.
  • Review AI-generated lyrics and vocals against reference material for quality and accuracy.
  • Work independently and asynchronously to meet deadlines while improving AI model performance.
  • Collaborate with AI research teams to enhance training data quality and model outputs.

Skills

Spanish (MX)
English

Education

Formal training in music performance, theory, or composition

Job description

Audio Engineer - Fully Remote - AI Trainer

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey .

Position: Music Production Expert - Spanish (MX)
Type: Contract
Compensation: $13-$54/hour
Location: Remote
Duration: Up to 6 months
Commitment: 20 hours/week

Role Responsibilities

  • Evaluate AI-generated music across genres for musicality, creativity, prompt adherence, vocal quality, and production/mix quality.
  • Label songs by genre, structure, instruments, vocals, and other musical characteristics.
  • Review AI-generated lyrics and vocals against reference material for quality and accuracy.
  • Work independently and asynchronously to meet deadlines while improving AI model performance .
  • Collaborate with AI research teams to enhance training data quality and model outputs.

Qualifications

Must-Have

  • Native or near-native proficiency in Spanish (MX) and ability to follow detailed instructions in English .
  • 2+ years of experience as a music producer, audio engineer, or mixing engineer.
  • Headphones or studio monitors suitable for critical listening.

Preferred

  • Formal training in music performance, theory, or composition.
  • Credited or commercially released production, engineering, or mixing work.
  • Broad familiarity with contemporary Spanish (MX) genres, sub-genres, and artists.

Start Date

  • Immediate

Application Process (Takes 20–30 mins to complete)

  • Upload your resume.
  • Complete the Bilingual Competency Interview in Spanish .
  • Receive next steps and onboarding details within a few days.

Resources & Support

  • For details about the interview process and platform information, please check:
  • For any help or support, reach out to:

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