Remote Scheduler - Mesopotamian Arabic

TransPerfect; Greater London; Hybrid; GBP 17,000 - 31,000; Part time

Job summary

DataForce by TransPerfect is seeking a remote Scheduler to schedule recording sessions for a Data Collection project in London, UK. This freelance/independent contractor role calls for 4-8 hours of work per day, five days a week, starting in the first week of Sep. 2026.

The Scheduler will contact participants by phone or email, screen eligibility, manage calendars, and provide logistical information. You will respond to questions, send reminders, and keep the project team informed of daily

Qualifications

• Idiomatic fluency in Mesopotamian Arabic.
• Ability to work in CET time zone.
• Flexible schedule as needed.
• Computer competency for data entry and reporting.
• Adapt to changing priorities through feedback.
• Outstanding customer service and communication via phone, email, and electronic media.
• Extremely detail-oriented.
• Experience working in a team.

Responsibilities

• Validation of candidates via phone call according to project requirements.
• Checking their availability for the project.
• Answering candidates' questions.
• Providing logistic information.
• Scheduling candidate for the sessions time.
• Sending reminders to the participants to ensure attendance.
• Filling the session schedule days in advance.
• Communicating daily schedule updates to project team.

Skills

Customer service

Communication

Attention to detail

Teamwork

CET time zone

Job description

Work Location : Remote

Engagement Model :Freelance / Independent Contractor

Expected Work Schedule :ca. 4-8 hours per day, 5 days a week

Expected Start Date: First week of Sep. 2026

Duration: 6-8 weeks, depending on the task assigned

Language(s) Needed : Mesopotamian Arabic

Work Summary

DataForce is seeking a motivated Scheduler to work remotely to schedule recording sessions for one of our Data Collection projects taking place in London, UK . As our Scheduler, you will play a pivotal role in ensuring that our project runs smoothly, appointments with project participants are efficiently scheduled and managed, and deadlines are met. Schedulers are responsible for communicating with potential participants via phone or email, as well as screening them based on defined criteria, and scheduling them based on their availability. Schedulers are also responsible for responding to pre-study participant questions, and pre-study follow-ups to encourage attendance and minimize no shows. The remote scheduler is the first point of contact between our team and study participants.

Work Responsibilities

• Validation of candidates via phone call according to project requirements
• Checking their availability for the project
• Answering candidates' questions
• Providing logistic information
• Scheduling candidate for the sessions time
• Sending reminders to the participants to make sure they don't forget about the scheduled sessions
• Filling the session schedule days in advance
• Communicating daily schedule updates to project team

Work Requirements

• Idiomatic fluency in Mesopotamian Arabic
• Can adapt to the CET time zone
• Be able to work a flexible schedule as needed
• Have computer competency for data entry and the production of reports and schedules
• Be able to adapt to changing priorities through applied feedback, and shifting focus quickly as project needs evolve
• Must possess outstanding customer service, excellent communication skills including phone, email, and electronic media communication
• Must be extremely detail-oriented
• Experience working in a team

In case you have any questions about this role contact us at: 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. To learn more about DataForce please visit us at Originally posted on Himalayas