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Experience Level
Entry Level
Qualifications
To succeed in this role, you should possess:Strong attention to detail and commitment to accuracy. Familiarity with AI concepts and data annotation tools. Excellent organizational skills and ability to manage time effectively. Prior experience in data annotation or related fields is highly desirable. Ability to work independently and meet deadlines.
About the job
Toloka Annotators seeks a Freelance AI Trainer and Data Annotator to contribute to remote projects from Porto, Portugal. This contract role focuses on enhancing AI models through careful data annotation and training tasks.
Key responsibilities
Review and annotate various data sets to help develop machine learning systems
Train AI models by following detailed guidelines and using provided tools
Manage independent work across multiple projects
Consistently deliver work that meets client quality standards
Location details
This is a remote role for candidates based in Porto, Porto District, Portugal.
About Toloka Annotators
Toloka Annotators is at the forefront of AI training and data annotation, helping businesses improve their machine learning models. We value innovation, quality, and collaboration, making us a leader in the industry. Join us and be part of the AI revolution!
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Part-time|$29/hr - $29/hr|Remote|Remote — Porto, Porto District, Portugal
We invite you to submit your CV in English, along with your English proficiency level.At Mindrift, we facilitate connections between talented specialists and exciting project-based AI opportunities in leading technology companies. Our focus is on the testing, evaluation, and enhancement of AI systems. Note that participation is project-specific and does not constitute permanent employment.Opportunity OverviewEach project presents distinct tasks, and contributors may engage in the following:Crafting original computational physics problems that replicate authentic physics research workflows;Designing challenges that necessitate Python programming for resolution (utilizing Numpy, SciPy, Sympy);Creating problems that are computationally intensive and require substantial timeframes (days/weeks) for resolution;Formulating challenges that involve complex reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics;Grounding problems in real research dilemmas or practical applications from physics;Validating solutions through Python using established physics simulation libraries;Clearly documenting problem statements and providing verified, accurate answers.Ideal Candidate ProfileThis role is well-suited for quantum researchers with Python proficiency who are interested in part-time, non-permanent projects. We seek candidates with:A degree in Physics (Theoretical, Experimental, Computational) or a related field;Proficiency in Python for numerical validation, with experience in MATLAB, R, C, SQL, or domain-specific libraries as acceptable alternatives;At least 2 years of professional experience in applied research or teaching;Familiarity with numerical simulation techniques;The ability to design problems that reflect genuine physics research workflows;Innovative thinking in problem creation across various physics domains;Knowledge of physics modeling and approximation methods;Strong command of written English (C1 or higher).Process OverviewApply → Pass qualification(s) → Join a project → Complete tasks → Receive paymentProject CommitmentFor this role, tasks are estimated to require approximately 10–20 hours per week during active project phases. This is an estimate and not a guaranteed workload.CompensationParticipants can earn up to $29 per hour, depending on their skill level and contribution pace. Compensation varies by project based on scope, complexity, and required expertise. Other projects may offer differing earning potentials.
Apr 30, 2026
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