Remote Educational Content Evaluator (Freelance, Flemish-Speaking Teachers)
Einleitung
DataForce by TransPerfect is looking for middle and high school educators (teaching students aged 11–18) to participate in our project, Cadence!
Work Location: Remote in Belgium
Engagement Model: Freelance; Independent Contractor
Estimated Workload: ~12.5 hours (5 rounds of 2.5h each); one round every two weeks, from April 20 to June 15.
What is the project about?
The purpose of this project is to evaluate educational content specifically designed for middle and high school students. This assessment will be used to optimize the overall performance of a multilingual learning application.
Who is eligible?
To participate, you should meet the following qualifying criteria:
· Be a resident of Belgium
· Be a native-level speaker of Flemish
· Be proficient in English, as all communication and task guidelines will be in English.
· Be qualified as a middle or high school educator for students aged 11–18.
· Have experience in teaching whole classes.
· Preferred: At least 3 years of experience teaching text-intensive subjects at the middle or high school (students aged 11–18).
How much is the compensation?
- Compensation is task-based, with expected compensation up to an hourly rate of 45 USD on average, provided productivity and quality expectations are met.
- As payment methods, we offer PayPal, Gift Card, and Wire Transfer, according to your location and preference.
Interested? Apply now!
https:// /project/cadence-evaluation-project-be?job-source=DF208Kontakt
Please feel free to share this opportunity with teachers in your?network, so they can join the project and make a meaningful difference!
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.