Finance AI Data Trainer - 10 Openings - 07/06/2025
(10 openings – Fully Remote, payment via Deel)
About Finstock, Inc.
Finstock is a Hong Kong–based fintech that leverages AI-driven analytics to support investors across U.S. equities, forex and crypto markets. Following a successful beta phase, the firm is expanding its data-training capabilities to accelerate model performance.
Please follow our Linkedin page before you apply: https://www.linkedin.com/company/finstockco/
Project Snapshot
- Engagement length: ~3 months
- Weekly commitment: 15–20 hours (flexible schedule)
- Compensation: USD 20 / hour (up to USD 30 / hour for candidates with advanced degrees and deep domain expertise)
- Payment method: All invoices settled through the Deel contractor platform for global compliance and fast payouts.
Role Overview
As a Finance AI Data Trainer you will curate, annotate and validate high-quality financial data that powers Finstock’s next-generation models. Your primary focus will be on U.S. GAAP- and IFRS-compliant corporate disclosures, market micro-structure data and FX commentary. You’ll collaborate with quants, machine-learning engineers and fellow subject-matter experts to ensure every data point is accurate, context-rich and model-ready.
Key Responsibilities
- Identify, label and QA-check financial text and numerical datasets related to U.S. equities and global FX.
- Map GAAP and IFRS concepts (revenue recognition, impairment, hedge accounting, etc.) to machine-readable ontologies.
- Create annotation guidelines and mentor junior annotators to maintain consistency.
- Perform targeted data audits and error-analysis feedback loops to improve model precision.
- Liaise with engineering teams to integrate newly curated datasets into training pipelines.
- Document edge cases, ambiguities and best practices for continual process refinement.
Required Qualifications
- Bachelor’s degree in Finance, Accounting, Economics, Data Science or a closely related field.
- 2+ years of experience at a global financial institution (investment bank, asset manager, Big 4 audit, rating agency, etc.).
- Working knowledge of both U.S. GAAP and IFRS reporting standards.
- Familiarity with capital-markets data (10-K/10-Q, earnings call transcripts, FX market commentary).
- Proficient written English; able to summarise complex accounting treatments succinctly.
- Reliable internet connection and ability to self-manage in a fully remote setting.
Preferred (Nice-to-Have)
- Professional certifications such as ACCA, CFA, CPA or FRM.
- Experience with annotation tools (Prodigy, Labelbox), SQL or Python for data wrangling.
- Prior work on NLP/LLM data projects or model evaluation.
- Advanced degree (MSc, MBA, PhD) in a relevant discipline.
What We Offer
- Flexible hours and location independence.
- Competitive hourly rate with performance-based upside.
- Access to Finstock research resources and proprietary analytics.
- Opportunity to influence AI products used by thousands of traders worldwide.
- Seamless invoicing and prompt payments via Deel, eliminating cross-border complexities. deel.com
How to Apply
Email your résumé (and any relevant credential verification) to [email protected] with the subject line “Finance AI Data Trainer – [Your Name]”. Qualified applicants will complete a short take-home annotation exercise and one technical interview. We aim to fill all ten positions by 08/01/2025 and will provide feedback within seven business days.
Job Type: Contract
Pay: $20.00 - $30.00 per hour
Benefits:
Application Question(s):
- Have you ever been terminated or asked to resign from any previous employment?
- Do you have any objections if we conduct a background check as part of our hiring process? (Required)
Education:
Experience:
- Investment Banking: 2 years (Preferred)
- Data Annotator: 1 year (Preferred)
- Accountant: 2 years (Preferred)
License/Certification:
- CFA Charterholder (Preferred)
Work Location: Remote
