Onsite Project Moderator – Arabic Speaker (London, Uk)

Transperfect; Greater London; On-site; GBP 29,000 - 37,000; Part time

Job summary

DataForce by TransPerfect is seeking an Onsite Project Moderator in London to guide participants through data collection sessions for an AI study. The role requires idiomatic Arabic and English, and the candidate will work on-site at the London office for a 4–5 week project, 40 hours per week at $32/hour.

The ideal candidate communicates clearly, troubleshoots data collection tools, and remains detail-oriented while meeting daily targets.

Qualifications

• Excellent oral communication skills.
• Detail-oriented and diligent approach.
• Strong technical skills, especially with iOS and MacOS.
• Ability to work on-site in London.
• Arabic fluency required for the study.
• Flexibility to work 8 hours a day for the project duration.

Responsibilities

• Understand project documentation to assist participants.
• Interact with participants and guide them through data collection projects.
• Acknowledge and resolve participants’ issues; escalate unresolved issues.
• Capture data for the project to reach daily targets.
• Use client tools to collect and track data.
• Convey session details to the Project Manager and Production team.
• Coordinate with the project team and other staff.
• Interact with hardware and software as needed.

Skills

Excellent oral communication

Detail-oriented

Strong technical skills

iOS

MacOS

Tools

Client tools

Job description

Engagement Model: Freelance / Independent Contractor

Expected Work Schedule: 40 hours per week (8 h/day, 5 days/week)

Project Duration: 4-5 weeks

Language(s) Needed: Arabic & English

Compensation: 32 USD/hour

DataForce by TransPerfect is seeking an Onsite Project Moderator with idiomatic fluency in Arabic to join our team for our new data collection project starting in late August - September 2026 in London. As our Onsite Moderator, you will be working out of our London office, assisting and guiding participants in a new study involving an AI virtual assistant and ensuring the proper execution of study requirements.

This is an exciting opportunity to be part of an innovative project to improve Artificial Intelligence technology.

Role Summary

The Onsite Project Moderator will guide participants along the recording process, and provide updates to members of the production team. They will also handle basic troubleshooting of data collection technology as needed. We are looking for individuals with excellent communication skills who are diligent, detail-oriented, and able to work independently.

Role Responsibilities

Understand project provided documentation to assist participants

Interact with participant and lead them through data collection projects

Acknowledge and resolve participants’ issues, escalated unsolved issues

Capture data for the assigned project aiming to reach the targeted daily goal

Using Client tools to collect and track data

Convey session details to the Project Manager and Production team

Communicate and coordinate with the project team

Interact with various hardware & software

Role Requirements

Available to work on-site in London, UK

Idiomatic fluency in one of the following Arabic varieties: Arabic (Iraq), Arabic (Syria), Arabic (Jordan), or Arabic (Egypt)

Available to work 8h/day for the duration of the project

Strong technical skills, especially with iOS and MacOS

Excellent oral communication skills (ability to lead a conversation with ease on different topics)

Detail-oriented with a knack for problem-solving

Able to work flexibly and adapt to changing scenarios

Preferred Role Requirements

Experience in moderation, facilitation or similar roles

DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.

We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.