Annotation Analyst

Round 1: Written aptitude test (logical reasoning, quantitative & verbal) → Round 2: Practical annotation test (hands‑on labeling task) → Round 3: HR interview (fitment, shift flexibility, salary discussion)

TELUS Digital promotes a collaborative, learning‑first culture where employees are encouraged to experiment with emerging AI technologies. The company offers structured mentorship, regular skill‑upgradation sessions, and a balanced work‑life approach despite the 24/7 shift model, thanks to flexible scheduling and cab facilities.

TELUS Digital’s interview process typically spans three rounds: an initial aptitude test, a hands‑on annotation exercise, and a final HR discussion. The aptitude round focuses on logical reasoning and basic quantitative skills, while the practical round evaluates your ability to follow guidelines and maintain labeling accuracy. The HR interview assesses cultural fit, shift flexibility, and communication skills. Preparation should include practicing annotation tools and reviewing AI basics.

Any graduate or postgraduate who will graduate in 2026 is eligible. No specific engineering or non‑engineering branch is mandated, but candidates must possess at least one of the following certifications: AutoCAD, VFX, Graphic Design, or Photoshop. Freshers are welcomed; prior professional experience is not required. Candidates should have a minimum of 60% aggregate (if mentioned by the recruiter) and must not have any active backlogs at the time of application. Good computer literacy and attention to detail are essential.

TELUS Digital is a global technology services firm that helps enterprises design, build and run digital experiences, data platforms and AI solutions. In India, the company operates several delivery centres that focus on data engineering, machine learning, and customer‑centric digital products. With a strong emphasis on innovation, TELUS Digital invests heavily in up‑skilling its workforce and offers a collaborative environment where fresh talent can work alongside seasoned data scientists and engineers. The Annotation Analyst role is a front‑line position in the AI operations pipeline. As an analyst, you will be responsible for creating high‑quality labelled datasets that power machine‑learning models across various domains such as computer vision, natural language processing, and audio analysis. The position is office‑based in the GIFT City campus of Gandhinagar and follows a 24/7 shift model, meaning you will experience both day and night rotations as part of a dynamic team. Key Responsibilities: 1. Annotate images, text, audio and video data using proprietary labeling tools while strictly adhering to project guidelines. 2. Review and correct existing annotations to ensure consistency and accuracy across the dataset. 3. Validate labelled data against quality metrics and flag any discrepancies for remediation. 4. Collaborate with machine‑learning engineers and data scientists to clarify annotation requirements and provide feedback on guideline improvements. 5. Work on floor‑plan and interior‑layout datasets, applying visual‑spatial reasoning and using tools like AutoCAD or Photoshop where needed. 6. Maintain productivity targets and meet project deadlines without compromising on quality. 7. Document annotation processes, edge cases, and any challenges encountered during the workflow. 8. Participate in regular quality‑control meetings and contribute to continuous‑improvement initiatives. 9. Adapt quickly to updated annotation protocols and new toolsets introduced by the technical team. 10. Support peer training sessions by sharing best practices and tips for efficient labeling. Tech Stack: Specialized annotation platforms, Photoshop, AutoCAD, VFX tools, basic scripting for bulk operations, and standard office productivity suites. Growth Path: Starting as an Annotation Analyst, high performers can progress to Senior Analyst, Team Lead, Quality Assurance Lead, or transition into broader AI Operations roles such as Data Quality Manager or Machine‑Learning Engineer with additional up‑skilling. Why Join TELUS Digital? You will gain hands‑on experience in the fast‑growing AI ecosystem, work on real‑world datasets that impact products used by millions, and enjoy benefits like two‑way cab service, medical and life insurance, and a clear career ladder. The role offers a stable entry‑level salary, exposure to cutting‑edge tools, and the chance to be part of a supportive, innovation‑driven culture.