Video Annotation Specialist

Human Loops; Nagpur District; On-site; INR 257,000 - 335,000; Full time

Benefits offered by this job

Training program

Career growth

Global projects

Office-based role

Job summary

Human Loops in Nagpur (Office-Based) is seeking a meticulous Video Annotations Specialist to label egocentric and robotic footage and to support data processing QC. The role combines hands-on annotation with rigorous review to meet client standards.

You will receive full training on annotation tools, work under a Team Lead, and grow through a defined path from Annotator to Senior Annotator as you contribute to global AI projects.

Qualifications

• Graduate in any discipline.
• 1–3 years in Video/Image Annotation or Data QC roles.
• Strong visual attention and detail.

Responsibilities

• Annotate video data across egocentric/POV footage, robotic manipulation, and internet-sourced video.
• Apply annotation types per project: bounding boxes, tracking, segmentation, keypoints, and captions.
• Work with client guidelines and taxonomies to ensure consistent labeling.
• Use client annotation platforms and meet throughput targets with accuracy.
• Flag ambiguous cases and participate in calibration sessions for improvements.
• Review incoming footage for QC criteria and log defects per thresholds.
• Coordinate with Field, Logistics, and Processing teams to resolve capture issues.

Skills

Visual attention

Computer proficiency

Excel & Sheets

File management

Guidelines interpretation

Communication skills

Time management

SOP compliance

Education

Graduate (any discipline)

Tools

CVAT

Label Studio

Job description

Video Annotations Specialist

Company: Human Loops (Pacheriwala Infotech Pvt. Ltd.)

Location: Nagpur, Maharashtra (Office-Based)

Employment Type: Full-Time

Salary: ₹23,000 – ₹30,000 per month (Based on Experience)

Open Positions: 5

Department: Operations – Annotation & Quality Control

Shift : Morning/Evening & Night

Reporting To: Team Lead

About Human Loops

Human Loops is a Data Company supporting leading AI, robotics, and technology organizations through Human-in-the-Loop (HITL) services, including data collection, annotation, validation, teleoperation, and data processing. Unlike traditional outsourcing firms, all our operations from recruitment and training to quality assurance and delivery are managed in-house, enabling us to maintain high quality standards and efficient project execution.

We are early stage but fast growing startup based out of Nagpur, building a World Class company from Nagpur!

Role Overview

The Video Annotations Specialist works across two connected tracks. The primary track is video annotation: labelling egocentric (first-person) footage, robotic manipulation recordings, and internet-sourced video to the specifications set by our clients. The secondary track is data processing and quality control: reviewing, verifying, and organising the footage our field teams collect before it moves into the annotation pipeline.

The role suits someone with sharp visual attention, patience for frame-level detail, and the discipline to apply the same standard to the thousandth clip as to the first. Full training is provided on all annotation tools and guidelines.

Key Responsibilities Video Annotation

• Annotate video data across multiple modalities — egocentric/POV footage, robotic manipulation recordings, and internet-sourced video.
• Apply annotation types as required by the project: bounding boxes, object tracking across frames, segmentation masks, keypoints and pose, hand–object interaction labelling, temporal action segmentation, and descriptive captioning.
• Work within client‑specified annotation guidelines and taxonomies, applying labels consistently across long‑form footage.
• Use annotation platforms provided by the clients.
• Meet daily and weekly throughput targets without compromising label accuracy.
• Flag ambiguous cases, guideline gaps, and edge cases to the Team Lead rather than guessing.
• Participate in calibration sessions and incorporate reviewer feedback into subsequent batches.

Data Processing & Quality Control

• Review incoming egocentric and field‑collected footage against defined QC criteria — framing, focus, exposure, occlusion, audio integrity, and recording duration.
• Apply the company's two‑phase scout‑and‑confirm review method and log defects against approved thresholds.
• Identify and elevate Red Flag footage (privacy exposure, consent issues, unusable capture) immediately.
• Verify uploads, check for missing or corrupted files, and confirm correct naming conventions and folder structures.
• Maintain QC logs, Excel trackers, and per‑batch reporting.
• Coordinate with Field, Logistics, and Processing teams to resolve capture‑quality issues at source.
• Follow all company data security and confidentiality policies.

Eligibility

Education: Graduate in any discipline.

Experience: 1–3 years in Video/Image Annotation, Data Labelling, Data Processing, QC, Back Office, or BPO roles.

No Freshers

Required Skills

• Strong visual attention to detail and ability to sustain focus over long review sessions
• Basic to intermediate computer proficiency; comfortable with keyboard shortcuts and multiple applications
• Microsoft Excel and Google Sheets
• File and folder management
• Ability to read, interpret, and consistently apply written guidelines
• Good written and verbal communication for reporting issues clearly
• Time management and ability to work to deadlines and daily targets
• Process‑oriented mindset and willingness to follow SOPs

Preferred (not Required)

• Prior hands‑on experience with any annotation tool (CVAT, Label Studio, or similar)
• Exposure to video editing or media review software
• Familiarity with AI/ML data workflows

Working Schedule

• 5 Working Days per Week
• 9 Hours per Day (8.5 Working Hours + 30 Minutes Break)
• Office‑Based Role
• Some projects may require rotational or shifted timings to align with client review windows; this is communicated in advance.

Compensation & Benefits

• Competitive salary
• Structured training and onboarding on annotation tools and client guidelines
• Performance‑based career growth
• Exposure to global AI and Robotics projects
• Learning‑focused work environment
• Clear internal promotion opportunities — Annotator → Senior Annotator/Reviewer → Team Lead

Why Join Human Loops?

The footage you annotate trains the perception systems behind next‑generation robotics and AI. This is precise, consequential work, and we build careers around it — our reviewers and team leads come from our own annotation floor. If you're detail‑oriented, eager to learn, and looking for long‑term career growth in AI operations, Human Loops offers the training, exposure, and opportunities to help you succeed.

Skills: video,data,annotation