UK English Data Labeler for Speech AI – Onsite

Welocalize, Inc.; Washington (District of Columbia); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Free meals on campus

Micro-kitchens and snacks

Commuter benefits

Campus facilities

Job summary

Welocalize, Inc. is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This onsite, full-time role involves handling audio, language data, and providing high-quality feedback to improve model outputs.

You will evaluate AI outputs, perform audit-based reviews, follow guidelines, and document findings clearly. Requires English (UK) fluency, strong written skills, and at least 1 year of data labeling or a related degree; remote work is not available.

Qualifications

• Native English (UK) with strong written skills.
• 1 year of data labeling or related work; or a related bachelor’s degree.
• Ability to follow detailed instructions and apply guidelines consistently.
• High attention to detail and accuracy in repetitive tasks.

Responsibilities

• Evaluate AI model outputs and provide structured feedback.
• Perform audit-based reviews of data and model behavior to identify patterns and edge cases.
• Apply guidelines thoughtfully and flag mismatches with real-world scenarios.
• Contribute to improving evaluation frameworks beyond execution.
• Document findings clearly and concisely for stakeholders.

Skills

English (UK)

Written communication

Attention to detail

Data labeling experience

Time management

Education

Bachelor's degree or equivalent

Tools

None

Job description

Welocalize, Inc. is seeking detail-oriented Data Labeling Analysts to support speech and voice AI systems. This onsite, full-time role involves handling audio, language data, and providing high-quality feedback to improve model outputs.

You will evaluate AI outputs, perform audit-based reviews, follow guidelines, and document findings clearly. Requires English (UK) fluency, strong written skills, and at least 1 year of data labeling or a related degree; remote work is not available.