Remote AI Training Data Annotator

Crossing Hurdles; United States; Remote; GBP 18,000 - 32,000; Full time

Job summary

Crossing Hurdles is seeking a detail-oriented data annotation specialist to analyze, annotate, and evaluate diverse data sets to support AI model training and validation. You will deliver clear written feedback aligned with project requirements and help refine model outputs.

This remote role suits someone with excellent English, strong analytical thinking, and experience with data-labeling projects. You will collaborate with teams across time zones in a fully remote, digital-first environment.

Qualifications

• Exceptional command of written and spoken English.
• Strong critical thinking and analytical skills.
• Proven ability to deliver precise, detail-oriented work in independent and collaborative settings.
• Experience with any type of data labeling or annotation projects (a plus, but not required).
• Comfort working in a fully remote, digital-first environment.

Responsibilities

• Analyze, evaluate, and annotate a variety of data sets to support AI system training and validation.
• Deliver clear, high-quality written input and feedback based on project requirements.
• Participate in reviewing, refining, and improving model outputs to ensure relevance and accuracy.
• Engage in problem-solving tasks that require critical thinking and depth of understanding across multiple domains.
• Follow project guidelines and participate in quality assurance processes to consistently meet deliverable standards.
• Communicate findings and insights effectively through both written and verbal channels.

Skills

English proficiency

Critical thinking

Attention to detail

Data labeling/annotation

Remote/digital-first work

Job description

Crossing Hurdles is seeking a detail-oriented data annotation specialist to analyze, annotate, and evaluate diverse data sets to support AI model training and validation. You will deliver clear written feedback aligned with project requirements and help refine model outputs.

This remote role suits someone with excellent English, strong analytical thinking, and experience with data-labeling projects. You will collaborate with teams across time zones in a fully remote, digital-first environment.