Profile Setup

Documentation Index

Fetch the complete documentation index at: https://www.opentrain.ai/docs/llms.txt

Use this file to discover all available pages before exploring further.

1

Upload your resume

The first step uploads your resume so the platform can auto-fill your profile. Two resume types are supported:

• General resume (required) — your overall work history and background
• Data labeling resume (optional) — a separate resume focused on annotation, RLHF, or labeling-specific experience

Accepted formats: PDF, DOCX, or TXT — max 10 MB each.When you upload your general resume, the platform parses it and pre-populates your work history, education, skills, and contact details. You review and edit each section in the steps that follow.

If you upload a second resume later, the platform cross-checks it against your original to verify consistency. Significant mismatches may affect your profile status.

2

Add your basic details

Fill in your contact and location information:

• Full name
• Country — used for location-based job matching and payout eligibility
• City
• Phone number
• LinkedIn URL — the platform normalizes your URL automatically

Your country determines which jobs you are eligible to apply for when an employer restricts their listing to specific locations.

3

Add your labeling experience

This is the most important section for job matching. The step has two pages.On the first page, pick your overall AI training experience level — Entry Level (less than 1 year), Intermediate (1–3 years), or Expert (3+ years). On the second page you write a short Profile Overview (minimum 150 characters) and add one or more labeling experience entries. For each entry, the wizard captures:

• Platform or tool used (e.g., Scale AI, Labelbox, CVAT, Appen, Remotasks, or internal tooling)
• Data types you worked with — image, video, text, audio, document, code, 3D sensor, medical, geospatial
• Label types you performed — bounding box, polygon, segmentation, classification, NER, RLHF, fine-tuning, SFT, red-teaming, transcription, evaluation/rating, and more
• Duration and dates

Add a separate entry for each platform or tool you have used, even if the work overlapped in time. Employers often filter by specific software, and having each tool listed individually improves your match quality.

4

Set your skills

The skills section captures three dimensions that the matching engine uses:

• AI Data Labeling Software — select every labeling or annotation platform you have hands-on experience with (Scale AI, Labelbox, Label Studio, Encord, Roboflow, AWS SageMaker, CVAT, etc.)
• Data Type Expertise — the types of data you are comfortable annotating
• Task Type Expertise — the annotation and training task types you can perform

These overlap with your labeling experience entries but apply platform-wide across all your work, not just a single project.

5

Add work experience

Add your general professional work history — roles, companies, dates, and descriptions. The resume parser auto-populates these from your uploaded resume, but you can add, edit, or remove entries manually.This section is separate from labeling experience and covers non-AI-training roles in your background.

6

Add education

Add your education history — school, degree, field of study, and graduation year. The resume parser auto-populates these as well.

7

Set your rate and availability

Set your hourly rate and weekly availability. Availability options are:

• Less than 20 hrs/week
• 20+ hrs/week
• I don’t know yet

Experience level options (used for job matching):

• Entry Level — less than 1 year of AI training experience
• Intermediate — 1–3 years
• Expert — 3+ years of data labeling or annotation experience

8

Set up your public profile

The wizard’s final personalization step captures three fields:

• Profile photo — upload a photo to display on your profile card and proposals (PNG, JPG, WEBP, or GIF, max 5 MB)
• Profile title — a short headline that appears on your public profile, such as “RLHF evaluator and multilingual safety reviewer”
• Top industries / subject matter — rank up to three areas that best represent your expertise (for example, AI safety evaluation, image annotation QA, or audio transcription review)

9

Review and submit

The final step shows a summary of everything you have filled in. Review each section and go back to correct anything before submitting.Once you submit your profile, it is added to the matching pool and you can start applying to jobs.

​

Profile visibility

• Visibility — controls who can see your profile: Public, Only OpenTrain Users, or Private
• Availability — signals to employers whether you are open to new work (Less than 20 hrs/week, 20+ hrs/week, or I don’t know yet)
• Search engine visibility — when enabled, allows search engines such as Google to index your public profile page

​

Languages

​

Agency onboarding