Deep Reading: You will read and review entire manuscripts (65k–150k+ words) to ensure literary quality, you won't be required to listen to the audios. The Tech: Use our web-based platform which suggests corrections for you to validate or override.
Remote Data Annotation & Labeling Jobs in Djibouti 2026
95 remote jobs open to candidates in Djibouti in Data Annotation & Labeling. Updated daily.
Deep Reading: You will read and review entire manuscripts (65k–150k+ words) to ensure literary quality, you won't be required to listen to the audios. The Tech: Use our web-based platform which suggests corrections for you to validate or override.
We are looking for independent contractors with native-level Kansai fluency and strong familiarity with Kansai as used in Japan to support voice and audio evaluation work.
We are looking for independent contractors with native-level Cordobes fluency and strong familiarity with Cordobes as used in Argentina to support voice and audio evaluation work.
We are looking for independent contractors with native-level Cantonese fluency and strong familiarity with Cantonese as used in Hong Kong to support voice and audio evaluation work.
You'll audit video annotation work submitted by other labelers — verifying that temporal labels, content tags, and moderation flags have been applied correctly and consistently.
We are looking for independent contractors with native-level fluency in one or more Hindi (India) language varieties, including Awadhi, Bundeli, and Haryanvi, to support voice and audio evaluation work.
We are looking for independent contractors with native-level Arabic fluency and strong familiarity with Arabic as used across United Arab Emirates, Kuwait, Qatar, Bahrain and Oman Arabic-speaking regions to support voice and audio evaluation work.
We are looking for independent contractors with native-level French fluency and strong familiarity with Japanese as used in Japan to support voice and audio evaluation work.
We are looking for independent contractors with native-level Japanese fluency and strong familiarity with Japanese as used in Japan to support voice and audio evaluation work.
We are looking for independent contractors with native-level Portuguese fluency and strong familiarity with Portuguese as used in Brazil or Portugal to support voice and audio evaluation work.
We are looking for independent contractors with native-level Arabic fluency and strong familiarity with Arabic as used across Saudi Arabia, Egypt, Jordan, or other Arabic-speaking regions to support voice and audio evaluation work.
We are looking for independent contractors with native-level French fluency and strong familiarity with French as used in Canada, France, or French-speaking regions of Africa to support voice and audio evaluation work.
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
Label and annotate diverse datasets across text, images, and structured data to train and improve AI models at scale. Role details Domain: Technology Experience level: Industry Expert Required expertise: Data Labeling, Quality Assurance, Attention to Detail, Text Classification…
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.
We are looking for English native speakers who are Learners of French and/or SPANISH (latam) to record simple utterances in different proficiency level.
What would you do: Record a few words and sentences in Hindi (10 minutes or less). Hindi level: - Beginner - Intermediate - advanced Tool: Online user-friendly tool. Native Language: Any (Native Hindi are not allowed) Payment: We will pay 30 min for 10 min of recordings.
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
We need annotators who can mark visual data accurately and efficiently. You will work through image queues, applying labels, bounding boxes, keypoints, or segmentation masks according to project-specific guidelines.
Your work turns raw images into structured training data for vision models. On any given day you might label objects in street scenes, segment tumors in medical scans, or identify products on retail shelves.
You will classify and label text, image, and mixed-media data sets that go straight into training pipelines at major AI research labs. The work is detail-heavy: every annotation you submit gets checked against a rubric before it counts.
Your main job is to turn unstructured data into labeled training examples. Depending on the project, that might mean highlighting spans of text, drawing bounding boxes, assigning categorical labels, or ranking items by relevance.