Data Annotator

• Today

SAI Group

Role overview

Qualifications

Excellent attention to detail
Ability to follow annotation guidelines accurately
Reliable and detail-oriented

Responsibilities

Annotate and label text, image, audio, or video datasets according to project guidelines
Review and verify annotated data to ensure accuracy and consistency
Identify and report ambiguous or incorrect data
Perform quality checks and correct annotation errors

Key facts

Remote from: India
Full time
English

Hard skills

Annotation Processing Data Classification Verification And Validation Internal Documentation

Other skills

Quality Assurance
Detail Oriented
Collaboration
Reliability
Problem Solving

About the company

SAI Group

SAI Group has a vast level of expertise and local knowledge providing full turnkey wireless and renewable energy development services with a major emphasis on adding value by controlling quality, schedules and costs, resulting in exceeding our client’s expectations. We have in-house, construction, tower antenna/cable crews, electricians, RF engineering and technical field specialists dedicated to designing, installing, commissioning and optimizing all scales of network build-outs for our clients.

Company details

Company size51 - 200

Links

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Job description

We are seeking a detail-oriented and reliable Data Annotator to label, classify, and validate data used to train and improve Artificial Intelligence (AI) and Machine Learning (ML) models. The ideal candidate should have excellent attention to detail, follow annotation guidelines accurately, and maintain high-quality standards while working with text, images, audio, or video datasets.

Key Responsibilities

Annotate and label text, image, audio, or video datasets according to project guidelines.
Review and verify annotated data to ensure accuracy and consistency.
Identify and report ambiguous or incorrect data.
Perform quality checks and correct annotation errors.
Follow annotation standards and documentation.
Collaborate with QA teams, data scientists, and project managers.
Meet daily productivity and quality targets.
Maintain confidentiality and data security throughout the annotation process.
Assist in improving annotation processes and documentation.

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