Remote Data Analyst for AI Training & QA

Crossing Hurdles; Indonesia; Remote; IDR 78,120,000 - 122,760,000; Full time

Job summary

Crossing Hurdles is seeking a data annotation specialist to analyze diverse datasets, label data for AI model training, and provide precise feedback based on project requirements. This fully remote role emphasizes rigorous quality assurance, clear written communication, and collaborative problem solving across global teams to ensure accurate, reproducible model outputs.

You will thrive in a digital-first environment, deliver consistent results, and contribute to ongoing improvements in

Qualifications

• Exceptional command of written and spoken English.
• Strong critical thinking and analytical skills.
• Proven ability to deliver precise, detail-oriented work independently and collaboratively.
• Experience with data labeling or annotation projects is a plus.

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

Analytical skills

Attention to detail

Remote work

Job description

Crossing Hurdles is seeking a data annotation specialist to analyze diverse datasets, label data for AI model training, and provide precise feedback based on project requirements. This fully remote role emphasizes rigorous quality assurance, clear written communication, and collaborative problem solving across global teams to ensure accurate, reproducible model outputs.

You will thrive in a digital-first environment, deliver consistent results, and contribute to ongoing improvements in