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Human Data Specialist (Remote)

United Kingdom
$40 – $60/hr
Posted about 16 hours ago
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Role: Human Data Specialist (Remote)

Location: Remote (Work from Anywhere)
Job Type: Full-Time
Payout: $40 - $60/hour

Role Overview:

We are hiring for one of our clients, seeking a Senior Human Data Manager to work on a full-time basis. This role involves overseeing data collection, validation, and annotation processes to ensure high-quality training datasets for AI models. The position requires managing teams of human annotators and coordinating with technical stakeholders to align data standards with project objectives.

Key Responsibilities:

  • Design and implement data annotation guidelines to maintain consistency and accuracy across datasets.
  • Lead and mentor a team of human annotators, ensuring adherence to project timelines and quality benchmarks.
  • Collaborate with cross-functional teams to identify data requirements for AI model training and evaluation.
  • Monitor data annotation workflows for efficiency, scalability, and alignment with client-specific standards.
  • Contribute to the development of data quality assessment frameworks and performance metrics.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

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Required Skills & Qualifications:

  • Experience in managing large-scale data annotation projects with a focus on AI/ML training datasets.
  • Proficiency in data validation techniques and quality control processes for structured and unstructured data.
  • Strong leadership skills to guide annotator teams and optimize workflow performance.
  • Familiarity with annotation tools such as Label Studio, Prodigy, or similar platforms.
  • Ability to interpret technical requirements and translate them into clear annotation instructions.

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More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the advancement of AI-driven solutions through high-quality human-annotated data. The position requires remote collaboration with international teams to meet diverse project demands.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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Skills

Data Annotation Management
Data Validation
Quality Control
Team Leadership
Label Studio
Prodigy
AI/ML Training Datasets
Workflow Optimization
Technical Requirement Interpretation
Data Quality Assessment

Location

United Kingdom

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