African-English Cultural Image–Text Annotator (Native Fluency)

About OpenTrain and This Opportunity

OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect contributors with paid projects that teach AI systems how people think, speak, and see—work that is remote, flexible, and on the cutting edge of how AI gets built.

This role is for an academic research project creating a multimodal benchmark of African cultural content (cuisine, attire, art, architecture, festivals). You will validate and refine image–text pairs so models learn accurate, culturally informed representations.

About AI Training Work

AI training (also called data labeling or annotation) is the human work behind modern AI. Contributors annotate images and text, rewrite captions, add context, and flag poor or duplicate samples so models learn from high-quality examples.

Most projects are fully remote, let you choose hours, and welcome entry-level contributors with language fluency and attention to detail. This project combines image review, caption editing, and cultural context writing.

The Role — What You'll Do

You will review image–text samples and ensure each sample is correctly labeled by country and cultural category, rewrite captions in your native language and in English, add short cultural context where relevant, and flag any low-quality or duplicate items.

Work is done in a browser (internal proprietary tooling), with short onboarding and written guidelines. Samples take about 2–4 minutes each.

• Verify that the image and caption accurately represent the claimed country and cultural category.
• Correct or rewrite the caption in your native language and in English.
• Add brief cultural context (one or two sentences) when relevant.
• Flag mislabeled, low-quality, or duplicate samples.

Languages We Need

We’re seeking native or near-native speakers of 54 African languages and dialects. Multilingual annotators are welcome to apply for multiple languages.

Languages are grouped by region for convenience below.

• Arabic varieties: Tunisian (aeb), Egyptian (arz), Mesopotamian (acm), Najdi (ars), South Levantine (ajp), Levantine (apc), MSA (arb), Algerian (arq), Moroccan (ary).
• North & West Africa: Kabyle (kab), Twi (twi), Dyula (dyu), Fon (fon), Kabiyé (kbp), Mossi (mos), Bambara (bam), Fulah (ful), Akan (aka), Yoruba (yor), Nigerian Pidgin (pcm), Hausa (hau), Igbo (ibo), Umbundu (umb), Lingala (lin), Kimbundu (kmb).
• Central & East Africa: Kikongo (kon), Luba-Kasai (lua), Bemba (bem), Kinyarwanda (kin), Luganda (lug), Oromo (orm), Amharic (amh), Kirundi (run), West-Central Oromo (gaz), Kamba (kam), Kikuyu (kik), Nuer (nus), Chichewa/Nyanja (nya), Luo (luo), Somali (som), Swahili (swa).
• Horn & Indian Ocean: Tigrinya (tir), Malagasy (mlg).
• Southern Africa: Shona (sna), Xhosa (xho), Sesotho (sot), Zulu (zul), Tsonga (tso), Afrikaans (afr), Northern Sotho (nso), Tumbuka (tum), Tswana (tsn), IsiNdebele (nde).
• Lusophone Africa: Portuguese (por) — speakers from Angola, Mozambique, Cape Verde, etc., Emakhuwa (vmw).

Requirements

Preserve the following requirements exactly as stated; they are mandatory for participation in this project.

• Native or near-native fluency in at least one listed language.
• Strong cultural familiarity with the relevant country/region.
• Working English proficiency for writing and communicating with the team.
• Reliable internet connection and a browser to access the internal annotation tool.
• Attention to detail and availability for 1–3 months, under 20 hours per week.

Pay, Volume, Schedule, and Tools

This is contract, part-time annotation work. You are paid per sample at $0.29 with weekly payouts through OpenTrain. The pilot phase includes 50 samples per language; the full project may reach 1,000–2,000 samples per language over 6–8 weeks.

Work is flexible and remote; expect roughly 2–4 minutes per sample. Annotation happens in an internal, browser-based proprietary platform—no installation required. Short onboarding and written guidelines are provided before you start.

• Payment: $0.29 per labeled sample, weekly payouts via OpenTrain.
• Pilot: 50 samples per language. Full project: up to 1,000–2,000 samples per language across 6–8 weeks.
• Estimated time: 2–4 minutes per sample; less than 20 hours/week expected.

How To Apply

To apply, tell us the information below in your submission. Keep answers concise and relevant—this helps us match you to the right language batch quickly.

Shortlisted applicants will receive onboarding instructions and written guidelines, then complete a small qualification task before beginning paid work.

• Include: (1) language(s) and country/region you represent, (2) a brief note on your cultural familiarity with that area, (3) any prior annotation, linguistic, or related work experience, and (4) your availability (hours per week and earliest start).