{"@context":"https://schema.org","@type":"JobPosting","title":"Data Annotator | $90/hr Remote","description":"

Position: Generalist

Position:

Generalist

Type: Contract

Type:

Contract

Compensation: $50 - $90/hour

Compensation:

$50 - $90/hour

Location: Remote

Location:

Remote

Commitment: 10-40 hrs/week

Commitment:

10-40 hrs/week

Role 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.

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.

Requirements

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.

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.

Application Process

Easy Apply on LinkedInCheck email for next stepsParticipate in resume evaluation & interview stage

Easy Apply on LinkedIn

Check email for next steps

Participate in resume evaluation & interview stage

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