Remote investment banking jobs
Bring your investment banking knowledge to the human side of AI. In AI training projects, subject-matter experts turn financial documents, earnings calls, pitchbooks, and transaction records into structured, high-quality training data so models learn accurate terminology, context, and judgement. OpenTrain connects finance pros with short-term and ongoing projects across the industry. Create a free profile, list your domain skills, and apply to projects that need precise financial labeling, annotation, or review work.
4 open positions
Finance AI Reviewer
Remote contract role reviewing AI-generated finance content with a focus on Private Equity and Investment Banking; 20+ hours/week and $30–$65/hr. Ideal for finance professionals who can evaluate models, refine outputs, and explain complex financial concepts clearly.
View jobPosted Jun 30, 2026
Investment Banking Expert
Join OpenTrain as a contract Investment Banking expert to help train AI with high-quality financial judgments; part-time remote (20+ hrs/week), paid hourly at $30–$65/hr, worldwide (English required).
View jobPosted Jun 29, 2026
Private Equity AI Trainer
Join OpenTrain to help train generative AI systems with real-world private equity expertise; contract, remote, 20+ hrs/week, $30–$65/hr. Review documents, design scenarios, and evaluate model outputs to improve AI performance on deal workflows.
View jobPosted Jun 27, 2026
Finance & Investment Professional
Join a remote, project-based role applying finance and investment expertise to train next-generation AI systems. Contract, part-time work (20+ hrs/week) with a paid hourly range of $154–$210 USD focused on document evaluation and text generation tasks.
View jobPosted May 25, 2026
What this work actually involves
Investment banking expertise is used to label and review finance-focused content so machine learning models interpret deals, filings, and market language correctly. Typical tasks include annotating transaction types, tagging sections of prospectuses, classifying earnings-call statements by topic or sentiment, labeling financial entities and relationships, validating numeric extractions from tables or footnotes, and checking model outputs for factual or procedural errors.
Work is usually delivered as project-based tasks with detailed guidelines. You may follow annotation schemas, complete short qualification tasks, do spot-check reviews, or write examples and edge-case notes that teach models how to handle complex, ambiguous finance language.
- Tagging deal types, roles, and parties in pitchbooks and transaction documents.
- Annotating earnings call transcripts for sentiment, question types, or forward guidance.
- Labeling financial entities, instruments, key metrics, and relationships in reports.
- Validating numeric data and context from tables, footnotes, and disclosures.
- Reviewing model responses for accuracy and regulatory sensitivity.
Skills and expertise that help
Strong domain knowledge is the main advantage: familiarity with M&A, capital markets, financial statements, valuation language, and deal documentation reduces ambiguity. Comfort with reading dense documents, spotting subtle shifts in wording, and understanding the practical implications of terms is essential.
Technical and soft skills that improve performance include careful attention to guideline detail, consistent labeling, basic spreadsheet skills for tabular tasks, ability to explain rationale in short comments, and discretion when handling proprietary or sensitive content.
- Investment banking experience, analyst or associate background, or finance graduate training.
- Ability to parse legal-like language in prospectuses, term sheets, and contracts.
- Attention to ambiguity and consistency when applying annotation rules.
- Comfort using spreadsheets or simple annotation tools and writing concise justification notes.
Who tends to do well
People who succeed are often former or current bankers, corporate finance analysts, equity researchers, compliance or risk specialists, and finance-focused consultants who can map professional judgement into clear, repeatable labels. Advanced candidates for specialized projects include technical finance professionals who understand quantitative disclosures, structured products, or regulatory reporting.
Students and early-career finance professionals can also contribute on many projects—especially entry-level annotation or transcription of finance materials—so long as they follow guidance and build up a record of accurate, consistent work.
- Experienced bankers who translate nuanced judgment into consistent labels.
- Analysts and researchers comfortable with earnings materials and numeric detail.
- Compliance or legal operations specialists for projects requiring regulatory awareness.
- Finance students and junior staff who learn quickly from examples and feedback.
How hiring and projects work on OpenTrain
OpenTrain lets you showcase finance expertise in your profile, then apply to projects that need subject-matter annotators and reviewers. Many projects ask applicants to complete a short qualification task or test to verify you understand the task instructions and can meet quality standards.
Assignments are typically remote and time-limited; some are continuous-review roles with regular batches. After qualifying, you’ll receive project instructions, annotation tools or spreadsheets, and a feedback loop that helps you improve and build reputation. Creating an OpenTrain account is free and your profile helps project owners find the right finance expertise.
- Create a free OpenTrain profile and list your investment banking skills and experience.
- Apply and complete any required qualification tasks to demonstrate accuracy.
- Work remotely on batches or continuous review, following detailed labeling guidelines.
- Use feedback to build reputation and access more specialized projects over time.
Frequently asked questions
- Do I need prior investment banking experience to work on these projects?
- Not always. Some entry-level tasks—like transcribing earnings calls or basic tag-and-classify jobs—require attention to detail rather than deep banking experience. However, many high-value or specialized projects ask for domain knowledge in M&A, capital markets, financial statements, or compliance. If you lack experience, look for beginner-friendly listings and build credibility with strong qualification task results.
- Are these projects remote and flexible?
- Yes. AI training work for finance is commonly remote and can be flexible because tasks are often batch-based or delivered through web tools. Projects vary in cadence: some let you pick hours freely, others require completing assigned batches on a schedule. Each job posting will explain expected availability and deadlines.
- How is pay determined and how do I get paid?
- Pay structures vary by project and are set by the client or project owner. Common approaches include per-task or per-unit payment, hourly arrangements, or milestone rates. Payment logistics are handled through the platform or the project's workflow—check each listing for how pay and invoicing are managed. OpenTrain lets you find and apply; the specific payment terms appear in individual job details.
- Will I handle sensitive or confidential financial information?
- Some projects may involve non-public or sensitive material. When that is the case, listings will state required confidentiality measures and may ask you to sign an NDA or follow strict data-handling procedures. Always review project rules carefully and follow instructions on secure access and data privacy.
- How do I qualify and improve my chances of being hired?
- Success depends on a clear profile that highlights relevant deal types, sectors, and technical skills, plus strong performance on qualification tasks. Read annotation guidelines closely, complete any sample or test work carefully, and use comments to show your reasoning when allowed. Positive reviews and consistent accuracy unlock more specialized or recurring projects.