Egocentric Video Annotation - C1 English Required

Hi Team,

Hope you are doing well.

We are reaching out to explore potential collaboration on an upcoming pilot project and would like to get your inputs on feasibility availability and indicative pricing.

Please note this outreach is for estimation and planning purposes only. No commitment is expected at this stage.

Project Overview
Project Name: Human Generated Egocentric Annotations [Action and Trajectory Level Annotations]
Target Completion Date: End of February
Objective: Benchmark the model capability to generate multiple levels of captions
Task Description: Dense video annotations
Volume: 1000 hours of video with potential to scale up to 10000 hours
Accuracy Rate: 95%+

Acceptance Criteria: Annotation must meet following requirements,
Description accuracy
Description completeness
Timestamp precision

Annotation Tool: SuperAnnotate platform

Quote Needed By. January 30 2026

Task Summary
This project involves annotating first person egocentric videos following detailed customer provided guidelines. The work requires high attention to detail and strong English comprehension. Full task instructions and expectations are covered in the attached guideline.

Pilot and Scale
We are planning an initial pilot phase in February. Based on pilot performance the project may scale further.

Information Requested: After reviewing the attached guidelines please share the following.
Indicative hourly rates in USD for the required roles.
Required skill level and experience to deliver high quality output.
Recommended number of resources for the pilot phase.
Approximate number of resources needed if the project scales to full production.
Any early assumptions on annotation time per hour of video if available.
Expected ramp up time and any operational constraints.
Reference Material
Annotation guidelines are attached for your review.

Given the tight RFQ timeline we would appreciate your response as soon as possible.

Thank you for your time and support. Looking forward to your inputs.

Best Regards,

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Thought for 42s

Job Name: Egocentric Video Annotation (Tier 1–3 Captions) — C1 English, SuperAnnotate

Dataset Description (5–8 words): Egocentric videos with multi-tier captions

Data Type (select one): Video

Subject Matter/Industry (5–8 words): Human actions and motion trajectories in video

Pre-labeled Data (Yes/No): Yes

Labeling Software: Other

Label Types (multi-select): Action Recognition, Tracking, Text Generation

Labeling Overview

Qualifications / requirements:
We’re looking for experienced video annotators (and/or QA/review specialists) with C1-level English who can follow detailed guidelines and deliver high-precision timestamps and high-accuracy descriptions (target 95%+). You should be comfortable working in the SuperAnnotate tool and have prior experience with action-level video labeling and quality-focused review workflows.

What you’ll be doing:
You will annotate first-person (egocentric) videos using a 3-tier captioning scheme: Tier 1 = one high-level video summary (1–2 sentences, no timestamps). Tier 2 = action-level segments with start/end timestamps and clear verb + object labels (these will be pre-annotated and need improvement). Tier 3 = trajectory-level annotations created from scratch: sub-second, body-part-level motion descriptions (may overlap across limbs), grounded only in what is visible (no intent/guesses). Your work will be evaluated on description accuracy, completeness, and timestamp precision.

Required Locations: Global - Any Location

Required English Level: Fluent

Other Qualifications & Requirements (for screening)

Confirm C1 English proficiency or higher (comfortable writing precise, natural descriptions).

Prior experience with video annotation (action segmentation / temporal labels).

Experience with timestamping actions with tight start/end alignment (sub-second precision preferred).

Ability to write atomic, observable action labels in verb + object format (e.g., “grasp cup,” “place lid”).

Ability to generate trajectory/body-part-level motion descriptions (e.g., left hand/right hand/torso) with < 1 second segments and occasional overlaps.

Familiarity with SuperAnnotate (or equivalent annotation tools) and ability to ramp quickly.

Proven quality performance on similar projects (targeting 95%+ accuracy and low rework).

Availability to support a pilot in February with potential to scale (1000 hours → up to 10,000 hours).

Comfort working from customer-provided guidelines and passing a short qualification check before starting.