MongoDB Specialist
SME Careers • Remote
Education
Not stated
Type
Hourly
Pay Rate
$20/hr
Listed
29d ago
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From the SME Careers listing
In this hourly, remote contractor role, you will work as a MongoDB Specialist (SME) to create realistic, challenging computer-based tasks using MongoDB and related database workflows. You will design practical MongoDB tasks, document them clearly in SuperAnnotate, ensure your setup supports the task, and record yourself executing the task on your computer.
Tasks may include creating databases and collections, inserting and querying documents, filtering records, updating documents, deleting data safely, using indexes, working with MongoDB Compass, connecting to a local or cloud database, importing/exporting JSON/CSV data, or troubleshooting common database issues. Your work will help train advanced AI models to better understand how real users complete NoSQL database and developer workflows.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your MongoDB expertise directly helps improve the world’s premier AI models by teaching them how real users complete practical NoSQL database, querying, data-management, and troubleshooting tasks.
Key responsibilities
- Create realistic MongoDB tasks: Come up with realistic and challenging tasks that can be executed on the computer using MongoDB, then document the task clearly in SuperAnnotate.
- Prepare the work environment: Ensure your setup supports the task, including having MongoDB/MongoDB Compass available, test databases prepared, sample data loaded, safe credentials configured, and any required references ready before recording.
- Record task execution: Record yourself executing the MongoDB task on your computer while following project instructions and ensuring the workflow is clear, complete, realistic, and safe.
- Document task context: Provide enough task context, steps, goals, database/collection details, sample documents, query goals, and notes so reviewers can understand what the task is and how it was completed.
- Demonstrate practical software use: Complete workflows involving database creation, collections, CRUD operations, filtering, indexing, aggregation basics, data import/export, Compass navigation, or troubleshooting where relevant.
- Maintain submission quality: Review your recording and documentation before submission to ensure the task is complete, understandable, realistic, safe, and aligned with project guidelines.
Your profile
- Hands-on experience using MongoDB for databases, collections, document queries, updates, indexes, data import/export, MongoDB Compass, or backend/data workflows.
- English proficiency at B2 level or higher to understand project instructions, document tasks clearly, and communicate with the project team.
- Comfortable using a computer, database tools, browser/local environments, terminals where needed, sample data, and recording workflows.
- Ability to come up with realistic and challenging MongoDB tasks that reflect actual backend, data, admin, analytics, testing, or database-management use cases.
- Strong understanding of MongoDB basics such as databases, collections, documents, BSON/JSON structure, CRUD operations, filters, aggregation basics, indexes, connection strings, and permissions.
- Ability to ensure your setup supports the task, including having MongoDB or MongoDB Compass available, test databases prepared, sample data loaded, credentials handled safely, and any required references ready before recording.
- High attention to detail when preparing the task, executing the workflow, and checking that the recording is complete, safe, and understandable.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Additional professional skills are appreciated, including backend development, data engineering, JavaScript, Python, database administration, QA, DevOps, analytics, or other computer-based workflows.
🌍 Geographic Availability This role is available to qualified experts globally. However, as a U.S.-based company, SME Careers complies with U.S. export control and sanctions regulations. Eligibility depends on your country of residence and any applicable trade restrictions. Some projects may have additional language or region-specific requirements.
💰 Pay Rate May Vary Based on Your Location Your actual compensation will be determined based on your location and local market conditions. See regional job listings for localized pay information, or the application process will clarify your specific rate.
If you're unsure whether you're eligible, proceed with the application—SME's screening will determine your jurisdiction status and applicable compensation.
How long hiring takes
Across the AI training platforms we refer candidates to, the median gap between referral and hire is about 30 days. It varies by platform and role, so treat it as a rough guide for this one.
Why this role
This MongoDB Specialist role pays $20/hr to design realistic, challenging computer-based tasks using MongoDB collections, queries, indexes, and related database workflows. SME Careers wants hands-on MongoDB experience plus B2 English to document each task clearly for the review team. The job is building the test material AI systems get evaluated against, separate from answering support tickets about MongoDB itself.
Skills and categories
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Common questions
Does SME Careers offer a path for advancement?
Yes. SME Careers is unusual among AI training platforms for this: it publishes an explicit career ladder, Data Trainer, then Quality Analyst, then QA Lead, then Project Manager. Consistent, high-quality work is what moves you up it.
How does SME Careers pay freelancers?
Weekly, through Deel. Deel also handles tax compliance, which is how SME Careers pays contractors across more than 40 countries without running its own international payroll.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
Do task-based AI training roles require an interview?
Most skip a live interview entirely and gate access through an automated assessment or qualification task instead. Where we've confirmed the specific requirement for this listing, it's called out above in What We Know About This Role.
What does Generalist work look like for a MongoDB Specialist?
Tasks here are scoped to Generalist, not generic labeling. As a MongoDB Specialist, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Collections, English, Screen Recording, and Data Management are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $20/hr, a per-task rate. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to SME Careers's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind SME Careers?
SME Careers is the expert talent division of SuperAnnotate, an AI data infrastructure platform, connecting domain experts with high-level AI training projects.