Video Annotation Editor

You will watch video clips closely and create structured training data by marking what happens and exactly when it happens. The work requires careful editorial judgment, consistent labeling, and accurate event boundaries.

You will follow detailed written guidelines, review your own work, and raise unclear cases instead of forcing a label that the footage does not support.

• Mark the precise start and end of actions and other events.
• Identify scene changes, cuts, shifts in pacing, and changes in intensity.
• Label the tone or mood of each section and mark where it changes.
• Apply the same rules across clips and correct boundaries that are slightly misaligned.
• Flag unclear cases for review and suggest improvements when guidelines have gaps or cause repeated confusion.
• Complete the assigned annotation volume at the required quality level.

What It Pays and Takes

This is an entry-level, part-time contractor role. Previous AI training experience is not required, and prior video annotation or data-labeling experience is helpful but not essential.

• Pay: USD 50 to 90 per hour.
• Time: 20 or more hours per week.
• Work arrangement: Remote.
• Location: Open to candidates in AE, AR, AT, BD, BE, BH, BR, CA, CH, CL, CO, DE, DK, DZ, EG, ES, ET, FR, GB, GH, GR, ID, IN, IT, JO, JP, KE, KG, KW, KZ, LB, LK, MA, MX, MY, NG, NL, OM, PE, PH, PK, PS, PT, QA, SA, SG, TH, TN, TW, US, UZ, VN, or ZA.
• Language: Fluent English.
• Skills: Strong timing judgment, close attention to detail, patience with similar material, and the ability to follow written instructions precisely.
• Communication: Clear written and verbal communication in a remote work setting.
• Judgment: Ability to handle footage that does not fit an existing rule and explain borderline cases clearly.
• Helpful background: Music editing, video editing, sound editing, post-production, or related editorial work.

How It Works

Apply on OpenTrain with your resume and then complete the application on the hiring site.

About AI Training Work

AI training work uses examples prepared and reviewed by people to help artificial intelligence systems learn. Video annotators identify events and patterns so models can better understand visual material, and experienced contributors are valued for their accuracy and judgment.