About OpenTrain OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. Our community connects people with projects that teach AI by providing the examples and judgments models need to learn. Contributors work remotely on flexible projects that shape how modern AI systems behave—perfect for part-time work, students, or anyone seeking adaptable remote opportunities. About AI Training Work AI training (also called data labeling or annotation) is the human side of building intelligent systems. Tasks include tagging text for topic and sentiment, transcribing audio, labeling images, and rating model outputs. Your work directly improves models that help customers find products, understand reviews, and surface relevant content.

• This role focuses on text annotation: identifying topics and sentiment in product reviews.
• Work is remote and flexible; many projects allow you to set your own schedule.

The Role We are seeking native or fluent Polish speakers to join an ongoing annotation project focused on e-commerce product reviews. You will review Polish-language reviews and ensure the correct topics and sentiments are assigned to product features mentioned in each review.

• Employment type: Contractor, Part-time.
• Time commitment: minimum 15 hours/week (under 20 hours/week), flexible scheduling.
• Pay: $7.00 USD per hour.

What You'll Do

Your primary task is classification: confirm or correct topic tags and sentiment labels applied to review text. Tasks are performed in a web-based labeling tool (OTHER). Work is ongoing and requires consistent quality and timely completion.

• Read Polish product reviews and verify assigned topics (e.g., product quality, specific features).
• Assign or correct sentiment labels: positive, negative, or neutral for mentioned features.
• Follow annotation guidelines to maximize consistency and accuracy.
• Flag ambiguous or problematic reviews according to project rules.

Requirements

Candidates must meet the project’s language and experience requirements and be able to work independently while meeting deadlines.

• Native or fluent in Polish (required).
• Experience in data annotation, labeling, or a similar role (preferred).
• Familiarity with e-commerce and product reviews—consumer electronics, home goods, or personal care products is a plus.
• Strong attention to detail and accuracy.
• Reliable internet connection and access to a computer or required tools.
• Ability to commit at least 15 hours per week and meet deadlines consistently.

Who Should Apply This project is a good fit for annotators with intermediate experience who want steady, part-time remote work. If you are diligent, reliable, and comfortable judging nuance in Polish product reviews, you’ll be successful here.

• People seeking flexible, ongoing part-time work.
• Annotators with prior experience labeling text or working with e-commerce content.
• Polish speakers who can work independently and follow detailed instructions.

How It Works If selected, you will receive project-specific guidelines and access to the labeling platform. Work is submitted through the tool and reviewed for quality; feedback may be provided to help you align with project standards.

• Apply with your language level and annotation experience noted.
• Complete any required onboarding or qualification tasks before starting live tasks.
• Track hours and submit work according to the project’s reporting and payment process.