Data Operations Specialist
Alignerr • Remote
Education
Master's
Type
Hourly
Pay
$20-50/hr
Your rate depends on your experience and the task.
Last checked
5d ago
Checked
What we know about this role
- Weekly hours
- 10–40 hrs/week
About this role
From the Alignerr listing
What You'll Do
- Clean, organize, and structure raw datasets to ensure they meet quality standards for AI training
- Identify and resolve data inconsistencies, duplicates, formatting errors, and missing values
- Follow detailed data processing guidelines and standard operating procedures with precision
- Perform quality assurance checks across large volumes of data to maintain accuracy and consistency
- Tag, categorize, and transform data according to project-specific schemas and requirements
- Monitor data pipelines and flag issues that could affect downstream AI model performance
- Document processes, track progress, and communicate findings clearly
- Work independently on task-based assignments at your own pace and on your own schedule
About the Role
What if your knack for organizing information and keeping things running smoothly could directly shape the AI systems transforming our world? We're looking for Data Operations Specialists to manage, clean, structure, and quality-check the datasets that fuel cutting-edge AI — ensuring models are trained on data that's accurate, consistent, and ready for impact. This is structured, meaningful work at the intersection of data and AI. You don't need a technical degree or prior experience in machine learning — just a methodical mind, strong attention to detail, and a drive to get things right.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week
Who You Are
- Exceptionally detail-oriented with a systematic, thorough approach to work
- Comfortable working with spreadsheets, databases, or web-based data tools
- Able to follow structured instructions carefully and apply them consistently at scale
- Strong problem-solving instincts — you spot patterns, errors, and anomalies others miss
- Clear written communicator who can document issues and processes effectively
- Self-motivated, reliable, and productive when working independently
- No prior data operations, engineering, or AI experience required
Nice to Have
- Experience with data entry, data cleaning, quality assurance, or administrative work
- Familiarity with tools like Excel, Google Sheets, SQL, or data processing platforms
- Background in research, analytics, operations, or project coordination
- Exposure to AI tools, annotation platforms, or data labeling workflows
- Understanding of basic data concepts such as schemas, taxonomies, or metadata
Why Join Us
- Work on cutting-edge AI projects alongside leading research labs
- Fully remote and flexible — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based work
- Build in-demand data skills while contributing to real AI development
- Contribute to AI systems that shape how technology understands and processes the world's information
- Potential for ongoing work and contract extension as new projects launch
Why this role
- Work on cutting-edge AI projects alongside leading research labs - Fully remote and flexible — work when and where it suits you
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Common questions
How hard is the Alignerr assessment?
It's timed and specific to the role. Alignerr uses TestGorilla: engineers get a blank coding environment, and writers get strict grammar and fact-checking tests. You usually get one attempt per role, so prepare first and take it when you have time.
How soon can I start earning on Alignerr after passing the assessment?
After you pass, you verify your identity through Persona and set up billing through Deel. Then you wait in a pool, sometimes for weeks or months, until a project that fits your skills starts and assigns you.
Can I choose my own hours?
Usually, yes. You log in when you want, pick up a task, finish it and submit it, with no meetings. Other people work from the same pool of tasks, so some days there may be no work until more is added.
What does Data Science work look like for a Data Operations Specialist?
You check AI answers to Data Science questions, correct their errors and write expert reasoning. As a Data Operations Specialist, you're hired for that judgment, so hands-on Data Science experience matters.
How many hours per week does this role require?
Based on the listing, this role is scoped at 10–40 hours per week. Plan your week around it.
How much does this specific role pay?
This listing is posted at $20-50/hr, an hourly rate. Where you land in the range depends on your background and the assessment. Pay can change after we check the listing, so confirm the rate on the platform's application page.
Do I need a Master's to qualify?
This role lists a master's degree. The domain assessment usually matters more, and if you pass it the degree is often secondary. Some platforms check credentials, so list your qualifications accurately.
How do I get approved on Alignerr?
You pass a timed assessment in your field, such as Python, physics or a language. After that you can join paid projects.