Financial Analyst for AI Model Training
Saidgig
| Company | Saidgig |
| Category | Data & Analytics |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| First seen | 2 Aug 2026 (the employer did not state a posting date) |
| Last verified | 9 Aug 2026 |
| Source | The employer's own careers page (company_site) |
Description
Role Overview Provide domain expertise in finance to support AI research and product teams through short-term contract engagements. You will help train and evaluate finance-focused AI models, design realistic tasks and deliverables, and give specialist feedback that improves model performance. This listing is an open application to join a talent network for future contract opportunities, not a single job opening.
Key Responsibilities
• Contribute to training and evaluating AI models in finance.
• Create tasks, prompts, and deliverables based on real-world financial scenarios.
• Provide domain-specific feedback to help improve AI research and model outputs.
Qualifications
• Professional experience in financial modeling and forecasting.
• Experience with financial statement analysis.
• Experience with budgeting and variance analysis.
• Strong written and verbal communication skills.
• Ability to work independently in a remote environment.
Work Terms
• Engagement type: contract opportunities, hourly pay.
• Work location: remote.
• Typical commitment: 15 to 30 hours per week, projects vary in scope and duration.
• Schedule: flexible, work on your own schedule when matched to projects.
• Placement depends on project availability; matches are made on a rolling basis.
Compensation
• Hourly rate range: 60 to 180 hourly.
Eligibility and Application Process This is an open application to join a Financial Analyst talent network. To become eligible for project matches you must complete a profile and pass a verification step that includes an AI interview. The application process includes the following steps:
• Complete a single application by uploading your resume and confirming your work location.
• Undergo credential review and an AI interview; qualified applicants will be approved into the network.
• Remain in the network to be matched to relevant projects as they become available, matches occur on a rolling basis.
• If matched, you will be invited to interview for specific opportunities that align with your skills, schedule, and interests, then begin work remotely if selected.
Note: Joining the network does not guarantee immediate placement; opportunities are offered based on project needs and expert match.