Project Perseus | Speech & Voice AI Analyst - English (UK) Speakers

Welocalize, Inc.; New York (NY); On-site; USD 32,000 - 45,000; Full time

Benefits offered by this job

Paid Vacation

Paid Company Holidays

Paid Sick Leave

Medical, Dental, and Vision Insurance

Health Savings Account (HSA)

401(k) Retirem

Job summary

Welo Data is seeking detail-oriented Data Labeling Analysts to help build high-quality datasets for speech and voice AI systems. This is a 100% onsite, production-focused role handling audio and language data with strict guidelines to ensure accuracy at scale.

You will label, transcribe, categorize, and tag data, maintain throughput, escalate ambiguous cases, and adapt to evolving workflows. Native English (UK) proficiency, strong communication, and a willingness to work in structured

Qualifications

• Native-level English (UK) proficiency.
• 1 year of data labeling/annotation experience or related degree.
• Ability to follow detailed guidelines with consistency.
• Strong attention to detail in repetitive tasks.
• Comfort in structured, process-driven environments.

Responsibilities

• Execute high-volume data labeling and annotation across speech and voice datasets.
• Follow guidelines to ensure consistency, accuracy, and data integrity at scale.
• Work with audio and language data, including transcription, categorization, and tagging.
• Maintain strong throughput while meeting quality expectations.
• Escalate unclear or ambiguous cases appropriately.
• Adapt to evolving guidelines and workflows as systems and requirements change.
• Support baseline data production needs for AI training pipelines.
• Contribute to team calibrations and quality alignment sessions.

Skills

Native-level English (UK)

Strong writing skills

Attention to detail

Ability to follow guidelines

Structured, process-driven work

Time management

Questioning/escalation when needed

Familiarity with AI/speech data (aPlus

Education

Bachelor's degree or equivalent in a related field

Job description

Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You'll be working with audio, speech, and language data - helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems - where precision and discipline matter at scale. We're looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows.

Project Details

Job Title: Data Labeling Analyst (Speech & Voice AI)

Hiring in: Onsite (Bay Area, NYC, or client-dependent)

Hours: Full-time, 40 hours per week

Employment Type: W2 Full-Time Employee

Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship)

Hourly Pay Rate: $28/hour

Important: This is a 100% onsite position - remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement.

What You'll Do

• Execute high-volume data labeling and annotation tasks across speech and voice datasets
• Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale
• Work with audio and language data, including transcription, categorization, and tagging
• Maintain strong throughput while meeting quality expectations
• Escalate unclear or ambiguous cases appropriately
• Adapt to evolving guidelines and workflows as systems and requirements change
• Support baseline data production needs for AI training pipelines
• Contribute to team calibrations and quality alignment sessions

What We're Looking For

• Native-level fluency in English (UK)
• Strong written communication skills and language fundamentals
• 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field
• Ability to follow detailed instructions and apply guidelines consistently
• High attention to detail and ability to maintain accuracy in repetitive tasks
• Comfort working in structured, process-driven environments
• Ability to manage time effectively and maintain steady output
• Willingness to ask questions and escalte when needed
• Basic familiarity with AI, speech technology, or language data is a plus

Benefits

• Paid Vacation: 6 days
• Paid Company Holidays: 2 days (Memorial Day and Labor Day)
• Paid Sick Leave: accrued per applicable state law and company policy
• Medical, Dental, and Vision Insurance (eligibility applies)
• Health Savings Account (HSA)
• 401(k) Retirem