Accounting Specialist — Excel Dataset Creation
Alignerr • Remote • Posted 0 days ago
Education
Any
Type
Pay Rate
$95/task
Posted
0d ago
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About this Role
What You'll Do
- Review financial statements, ledgers, and accounting disclosures
- Extract and structure data into standardized Excel templates
- Validate calculations, formatting, and internal consistency
- Identify errors or inconsistencies in source accounting material
- Support recurring dataset creation and cleanup tasks
- Ensure datasets meet accuracy and quality standards for AI model training
About the Role
We're looking for accounting professionals to help build high-quality financial datasets that power the next generation of AI. Your expertise in financial statements, ledgers, and accounting workflows will directly shape how AI systems understand and reason about accounting — meaningful work with real impact.
- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: Flexible hours, work on your own schedule
Who You Are
- Background in accounting, bookkeeping, or a related financial discipline
- Strong Excel proficiency — comfortable building and validating structured datasets
- High attention to detail with a systematic, accuracy-first mindset
- Able to work independently and manage your own time effectively
- No prior AI experience required
Nice to Have
- Exposure to audit, FP&A, or financial operations
- Experience with financial statement analysis or accounting reconciliation
- Familiarity with data validation or spreadsheet quality control workflows
Why Join Us
- Work on cutting-edge AI projects with top research labs
- Fully remote and flexible — work on your own schedule
- Freelance perks: autonomy, variety, and global collaboration
- Contribute to meaningful work that shapes how AI understands finance
- Potential for ongoing work and contract extension
Requirements
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Accounting
Compensation Analysis
We're looking for accounting professionals to help build high-quality financial datasets that power the next generation of AI. Your expertise in financial statements, ledgers, and accounting workflows will directly shape how AI systems understand and reason about accounting — meaningful work with real impact. - Organization: Alignerr
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Frequently Asked Questions
What is the assessment actually like?
Notoriously strict. Alignerr uses TestGorilla for role-specific timed tests — a blank coding environment for engineers, rigorous grammar and fact-checking for writers. There is almost no hand-holding. The critical catch: this is essentially a one-shot process. Fail or abandon the assessment, and you are typically locked out of that role permanently with no option to retake.
How quickly can I start earning after I pass?
Not immediately. Even after passing the assessment and completing identity verification (via Persona) and billing setup (via Deel), you may sit in a waiting pool for weeks or months. You only start earning when a project matching your specific skills launches and you are officially assigned. Do not plan around Alignerr income until you are actively on a project.
Is there a community?
Yes — and it is one of Alignerr's genuine strengths. Once assigned to a project, you are added to Slack channels where you can ask questions, get rubric clarifications from admins, and talk to other AI trainers. This is rare in AI training and makes a real difference when guidelines are ambiguous or change mid-project.
Is this traditional consulting?
Not exactly. You act as a "Teacher" for advanced AI. Instead of client deliverables, you are given complex scenarios to evaluate. You grade the AI's logic, correct its hallucinations, and provide expert-level reasoning. Your job is to train the model to think like you do.
Why is the pay so high?
This role requires deep, verified expertise. General knowledge isn't enough; the model is specifically being trained on "edge cases"—the rare, difficult, or highly technical nuances that only a senior professional would know.
What is the workload like?
This is cognitive, deep work. Unlike simple data labeling, you might spend 45-60 minutes on a single task, researching citations or verifying complex calculations. Quality is prioritized over speed.
What is the barrier to entry?
Alignerr is known for difficult technical assessments. You must pass a timed test in your specific domain (e.g., Python, Physics, or Language) before you are eligible for any paid projects.