Participant recruitment & mobilisation
Recruit adult contributors or other approved target groups, screen eligibility, verify participation requirements, schedule sessions and maintain communication throughout the collection period.
AI training data and Physical AI
AI training data collection and Physical AI field operations in Ethiopia.
Gesem Research and Consulting PLC provides locally managed field operations in Ethiopia for international AI, robotics and technology teams. We can support participant recruitment and verification, consent administration, contributor training, device coordination, protocol-based real-world data capture, field supervision, first-line quality assurance and structured implementation reporting.
Local field capability
Six operating functions that can be combined around a client-defined protocol.
AI training-data programmes are operationally different from conventional surveys, but they share important requirements: clear participant criteria, reproducible instructions, controlled field procedures, documented consent, active supervision and rapid correction when data fail quality checks.
First-person & egocentric video operations
Coordinate client-approved head-mounted, wearable or other first-person capture protocols for real-world activities in permitted homes, workplaces or other agreed environments.
Device coordination & field logistics
Support device issuance, check-in/check-out, tracking, charging, participant support, recovery procedures and field-team coordination under a documented responsibility matrix.
Training, pilot & calibration
Train contributors and field staff against the approved protocol, run pilot or calibration captures, document recurring errors and provide corrective feedback before wider scale-up.
First-line quality assurance
Apply client-defined checks for framing, completeness, task compliance, duration, file naming, metadata, technical quality and other agreed acceptance criteria before handover.
Consent, privacy & documentation
Administer approved consent processes, maintain contributor records, document implementation and follow client-approved data-handling procedures together with applicable legal and contractual requirements.
Potential collection modalities
Real-world human data collected to a defined technical brief.
The exact modality depends on the model, task and client protocol. Gesem's role is to make the local collection process operational, recruit suitable contributors and maintain disciplined execution.
- First-person or egocentric video of approved everyday or task-specific activities.
- Human activity and demonstration data for client-defined Physical AI or embodied-AI use cases.
- Image and video collection across approved environments, objects and activity scenarios.
- Human-object interaction and task-sequence capture where the protocol defines required actions and metadata.
- Multilingual speech or audio collection where technical requirements, privacy controls and recording conditions are clearly specified.
- Protocol-based validation or evaluation data collection where Gesem is responsible for field execution rather than model assessment.
Clear role boundaries
Field operations are not the same as model development.
Gesem does not present this service as AI model engineering. For most programmes, the international client or technical lead defines the task taxonomy, equipment specifications, capture settings, acceptance thresholds, file structure, data-transfer architecture and downstream annotation or model-training requirements.
Gesem translates those requirements into a workable Ethiopia operating plan, contributor workflow, training package, field supervision system, device-control process and first-line QA routine. Any specialist annotation, hosting, labelling or technical data-processing work is included only when explicitly scoped and demonstrated to be feasible.
Delivery model
Pilot first, correct early, then scale under controlled procedures.
A high-volume target is not useful if contributors misunderstand the task or large portions of collected data are rejected. We therefore favour a staged operating model with explicit quality gates.
Feasibility & scope review
Confirm participant profile, geography, data modality, target volume, equipment, task complexity, consent requirements, timeline, quality thresholds and responsibilities.
Pilot & calibration
Test the protocol with a small number of contributors, identify practical failure points and refine instructions, support procedures and first-line checks before scale-up.
Recruit & train
Screen eligible contributors, communicate expectations, administer approved consent and train participants or field staff using examples and corrective feedback.
Collect & supervise
Coordinate devices, schedules and field support while tracking progress, participant issues, protocol deviations, incomplete submissions and operational risks.
First-line QA & correction
Review agreed quality indicators early enough to retrain contributors, repeat invalid tasks where permitted and prevent recurring errors from scaling across the programme.
Document & hand over
Maintain agreed contributor, consent, device, progress and QA documentation and transfer accepted files or records through the client-approved handover process.
Why local execution matters
International protocols still need an Ethiopia operating layer.
Projects that specifically require data from Ethiopian participants, languages or real-world environments need more than a remote collection brief. Recruitment, contributor communication, local-language explanation, scheduling, transport, equipment movement, consent administration and day-to-day troubleshooting all happen locally.
Gesem brings the operational discipline of research and fieldwork—participant management, trained field teams, documented procedures, supervision, data-quality routines and professional client reporting—to custom human-data collection programmes.
Not a generic crowd model
Managed field operations for programmes that require accountability.
Where a programme needs controlled recruitment, known participants, physical devices, defined task protocols or close quality follow-up, a locally managed model can provide clearer accountability than an unmanaged open-call approach.
Whether that model is appropriate depends on the client's technical requirements, target population, scale, privacy expectations and commercial structure. We assess feasibility before committing to volume or turnaround.
Review Gesem's international partnership modelQuality, consent and equipment control
Operational safeguards need to be designed before the first participant starts.
Quality problems in participant-based AI collection can become expensive when they are discovered only after many hours of capture. The operating plan should therefore define acceptance checks, correction routes and responsibility boundaries from the beginning.
Acceptance criteria
Agree what makes a submission usable before collection begins: task completion, framing, duration, metadata, environment, file structure and other technical rules supplied by the client.
Contributor support
Use clear instructions, practical demonstrations, escalation channels and targeted retraining when contributors repeatedly misunderstand a task or capture requirement.
Consent & controlled participation
Use approved consent language, participant records and agreed privacy procedures. Projects involving sensitive settings, bystanders or special populations require additional protocol review before fieldwork.
Device tracking
Use documented issue-and-return procedures, identifiers, checklists and escalation rules. Equipment ownership, damage liability and replacement responsibility should remain explicit in the contract.
Data handling
Follow the agreed storage and transfer workflow. Gesem does not assume that locally collected files should be retained, copied or reused outside the client-approved programme.
Operational reporting
Track recruitment, active contributors, completed tasks, rejected or repeated submissions, device status, field issues and agreed quality indicators so the client can see implementation performance.
Scope an Ethiopia programme
Send the technical brief before asking for a volume commitment.
Feasibility depends on what participants must do, how long each valid task takes, how repetitive the work can be, the equipment involved, acceptance thresholds and how quickly rejected data can be corrected.
Information that helps us assess feasibility
- Target participant profile and approximate number of contributors.
- Data modality: video, image, audio, motion, interaction or other capture type.
- Target volume expressed in valid hours, clips, tasks or other accepted units.
- Task library, repetition rules, locations and environment requirements.
- Equipment specification, ownership and responsibility for loss or damage.
- Consent, privacy, bystander and data-handling requirements.
- Acceptance criteria, rejection process, QA feedback loop and payment logic.
- Pilot dates, scale-up timeline and reporting expectations.
Frequently asked questions
Questions international AI and robotics teams may ask.
Can Gesem recruit participants for AI training-data projects?
Yes. We can support recruitment, eligibility screening, scheduling, contributor communication and field coordination for adult participants under a client-approved protocol.
Can Gesem support first-person or egocentric video?
Yes, where the client provides or approves the capture protocol, equipment specifications, task definitions and acceptance criteria. We can manage local participant operations, training, device coordination and first-line quality checks.
Does Gesem build AI models or provide specialist annotation?
This service is positioned around local field operations and human-data collection. Model development, specialist annotation, hosting or downstream processing are included only when separately scoped and technically agreed.
Can the programme start with a pilot?
Yes. A controlled pilot is strongly preferred when the protocol is new, equipment is unfamiliar, valid-hour targets are demanding or the client needs evidence on contributor productivity and rejection rates before scaling.
Have a protocol or data brief?
Request a Feasibility Review Send Gesem the participant profile, modality, volume, equipment, QA requirements and timeline.
We can assess the Ethiopia operating requirements and provide a practical mobilisation plan and quotation.