Annotation Analyst – Gandhinagar
TELUS Digital
ExperienceFreshers eligible
QualificationAny graduate or postgraduate graduating in 2026, subject to the listed certification requirement
Batch2026
Salary / CTC₹2.50–3.00 LPA
Key Responsibilities
- Annotate and label datasets using specialised tools and project guidelines.
- Work with data such as images, text, audio, or video, depending on project requirements.
- Maintain accuracy and consistency when applying annotation rules.
- Complete assigned work within project deadlines.
- Review and correct existing annotations.
- Validate data against project guidelines.
- Identify annotation errors and inconsistencies.
- Help maintain high levels of quality, accuracy, and efficiency.
- Work with machine learning engineers and data scientists to understand annotation requirements.
- Ask for clarification when instructions or expected labels are unclear.
- Provide feedback to improve annotation guidelines and workflows.
- Support quality control and problem-solving activities.
- Apply visual-spatial understanding while reviewing relevant datasets.
- Work with floor plans or interior layouts where required by the project.
- Use relevant image editing, annotation, or 3D modelling tools where applicable.
- Check visual information for consistency with the provided instructions.
- Work in a non-voice, back-office environment.
- Meet project deadlines and defined productivity expectations.
- Maintain consistent accuracy and follow quality-control procedures.
- Respond to feedback and adapt to updated annotation guidelines.
- The responsibilities include labelling datasets, reviewing annotations, checking data quality, following guidelines, working with machine learning engineers and data scientists, and providing feedback to improve annotation workflows.
Skills & Eligibility
- The official listing states that graduates and postgraduates graduating in 2026 are eligible to apply. It also specifies candidates with certification in AutoCAD, VFX, graphic design, or Photoshop.
- Because the certification appears under the requirements, applicants should confirm whether one of these certifications is compulsory for their particular educational background before attending.
- Freshers are eligible for this opportunity. The listing does not specify a minimum number of years of professional experience.
- Certification in one of the following areas is specifically mentioned:
- Graphic design
- The job description also highlights visual-spatial understanding and familiarity with floor plans and interior layouts. Knowledge of 3D modelling or related software tools is relevant to the work.
- Candidates should have basic computer skills, be familiar with data entry or annotation tools, and be able to follow complex instructions carefully. Accuracy is important because incorrect labels or missed details can reduce dataset quality.
- The role requires good communication skills and the ability to work independently or with a team. Candidates should be open to feedback, learn new annotation procedures quickly, and communicate quality issues clearly.
- The vacancy specifies a 24/7 work-from-office operating model. Candidates must be open to night shifts and rotational weekends. Check the recruitment team’s instructions for the expected working schedule and transport arrangements.
- The official listing states that graduates and postgraduates graduating in 2026 are eligible to apply. It also specifies candidates with certification in AutoCAD, VFX, graphic design, or Photoshop.
- Because the certification appears under the requirements, applicants should confirm whether one of these certifications is compulsory for their particular educational background before attending.
- Certification in one of the following areas is specifically mentioned:
- Graphic design
- The job description also highlights visual-spatial understanding and familiarity with floor plans and interior layouts. Knowledge of 3D modelling or related software tools is relevant to the work.
- Candidates should have basic computer skills, be familiar with data entry or annotation tools, and be able to follow complex instructions carefully. Accuracy is important because incorrect labels or missed details can reduce dataset quality.
- Candidates can prepare by reviewing the skills most relevant to annotation and visual data quality.
- Attention to detail: Practise identifying small differences between images, diagrams, or structured records.
- Instruction following: Read sample annotation rules carefully and apply them consistently.
- Image editing tools: Refresh your knowledge of Photoshop or other relevant editing tools if you have used them.
- AutoCAD and floor plans: Review basic drawing elements, dimensions, room layouts, and symbols if you hold an AutoCAD certification or relevant experience.
- Visual-spatial reasoning: Practise interpreting layouts and understanding the relative position of objects.
- Data validation: Learn to identify incomplete, inconsistent, or incorrectly labelled information.
- Communication: Prepare to explain how you handle unclear instructions, feedback, and quality issues.
- Shift readiness: Confirm that you can work from the office and meet the rotational shift requirements.
- These are practical preparation suggestions based on the stated role requirements, not additional official selection criteria.
- October 20, 2026
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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