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A leading global technology company is seeking remote freelancers for data annotation and linguistic tasks. Fluent candidates in Latin and English, with basic computer skills, can apply. Responsibilities include various data-related tasks such as categorization and validation. This opportunity is remote and tied to a commercial contract. The ideal candidate is detail-oriented and able to perform tasks effectively using an online platform.
Help shape the future of ethical AI.
Learn more about Sigma.AI and Sigma Cognition.
Join Sigma.AI – Shaping the Future of Artificial Intelligence
What is Sigma?
Sigma is a leading global technology company specializing in data collection and annotation for Artificial Intelligence. With over 30 years of experience, offices in Spain, the US, and the UK, and operations in more than 200 languages, we support top multinational clients in developing cutting-edge AI solutions.
Soft Skills We Value
Are you a proactive professional who thrives on challenges, values collaboration, and approaches every task with empathy, integrity, and a passion for learning?
If so, we’d love to hear from you!
As part of our linguistic projects, your responsibilities may include:
All tasks are remote, performed through an online platform available 24 / 7.
This opportunity is offered for freelancers under a commercial contract.
We are looking for candidates with the following qualifications:
Preferred (but not mandatory)
To participate in our projects, you will need:
Computer :
Connectivity & Accessories :
For audio-collection projects only :
Tablets and iOS devices are not supported
If you’re interested, click “APPLY FOR THIS JOB” and follow the instructions.
After submitting your application, you will receive an email with the required tests to assess your qualifications. These tests are mandatory to move forward in the process.
Check your inbox and spam folder, just in case!
Need Help?
We’re here for any questions or concerns.
Join us and be part of something global, innovative, and impactful.
Sigma.AI – Data done right.