OpenTrain is the leading platform for people who build careers in AI training and data labeling. We help freelancers discover specialized AI training projects, consolidate opportunities, and create a unified portfolio that demonstrates their skills to hiring teams across the industry.
Platform purpose: find and build careers teaching AI through hands-on tasks and verified deliverables.
OpenTrain supports flexible, remote contract work across data-labeling, evaluation and human-in-the-loop tasks.
Why AI Training Work Matters
AI training (also called data labeling or annotation) is the human side of building intelligent systems. People prepare examples, review outputs, and provide feedback that directly shapes how AI models behave.
Work is 100% remote and often flexible—ideal for part-time contributors.
Many projects require no prior AI experience; domain knowledge is rewarded on specialist tasks.
Contributors influence cutting-edge AI behavior while gaining valuable, resumable experience.
The Role
OpenTrain is recruiting a contract Investment Operations & Fund Accounting Analyst to complete hands-on finance operations exercises using mock files. Each exercise produces a clear analyst deliverable such as signed reconciliations, variance commentary, investigation narratives, entitlement calculations, and vendor-match outputs.
Engagement: contractor, part-time (less than 20 hours/week).
Location: US only; English required.
Work type: document-based analyst exercises and deliverables (DOCUMENT data).
What You'll Do
You will complete structured exercises that simulate real fund accounting and investment operations tasks. Deliverables must be clear, reproducible, and follow the provided templates and sign-off requirements.
Reconcile ledgers to custodian and bank statements and prepare signed-off reconciliations with adjusting entries.
Attribute NAV movements, flag items outside tolerance, and write variance commentary.
Investigate trade breaks across systems: classify cause, propose fixes, and draft investigation narratives.
Process corporate-action events, compute entitlements per account, and resolve payment or transfer exceptions.
Match messy merchant and vendor descriptors to a canonical registry as part of the final deliverable.
Requirements
You must have hands-on fund administration or investment operations experience and strong reconciliation and Excel skills. The role expects practical, demonstrable experience with the core tasks listed below.
Minimum 3+ years in fund administration, investment operations, fund accounting, trade support, middle office, or payment operations.
Proven experience reconciling ledgers to custodian or bank statements and preparing adjusting entries.
Experience with NAV attribution and writing variance commentary.
Track record investigating trade breaks, performing root-cause analysis, and drafting investigation narratives.
Familiarity with corporate actions, settlement exceptions, and entitlement calculations.
Strong Excel skills; familiarity with fund-accounting systems (SS&C, Geneva, Multifonds, InvestOne) is helpful.
Background with SWIFT and settlement systems and CPA/IOC credentials are a plus.
Who This Is For
This opportunity is suitable for experienced fund operations professionals who want flexible, part-time contract work that translates to clear portfolio deliverables. You should be comfortable working from mock datasets and documenting your analysis clearly for reviewers.
Good fit if you enjoy hands-on reconciliation, variance analysis, and structured investigation work.
Not suitable if you lack the required reconciliation or fund accounting experience listed above.
How It Works, Schedule & Pay
Assignments are completed as document-based exercises that produce signed analyst deliverables. This is a US-only, English-language contract role with a part-time commitment of under 20 hours per week.
Pay is hourly: $75–$110 USD per hour (structured PAY_PER_HOUR). Employment types: contractor, part-time. Labeling tasks tied to these exercises include evaluation/rating and text-generation style work on documents.
Time requirement: less than 20 hours per week.
Compensation: USD $75–$110 per hour (hourly work).
Data/label work: DOCUMENT with EVALUATION_RATING and TEXT_GENERATION label types.
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