MyRemoteTeam Inc · 13 hours ago
Finance / Asset Management Expert – AI Data Operations
MyRemoteTeam Inc is seeking senior Finance / Asset Management professionals who have transitioned into AI and tech-enabled workflows to support next-generation AI model evaluation and training. The role involves evaluating and improving AI systems' reasoning about financial workflows, working closely with AI engineers and product teams to design evaluations and curate data.
Responsibilities
Define end-to-end finance workflows used in:
Asset Management (portfolio construction, earnings analysis)
Private Equity (commercial diligence, market sizing)
Equity Research (investment thesis, valuation)
Investment Banking (market & competitive research)
Break complex financial processes into clear, testable steps suitable for AI evaluation
Design structured evaluations to assess LLM performance on:
Financial reasoning
Forecasting logic
Risk identification
Data extraction and synthesis
Specify:
Inputs
Expected outputs
Criteria for success vs failure
Create explicit rubrics to score AI outputs, including:
Correct vs incorrect financial logic
Assumption validity
Downside risk awareness
Scenario completeness
Ensure evaluations are auditable, repeatable, and consistent
Evaluate LLMs on workflows such as:
Earnings analysis & quarterly updates
Equity investment thesis generation
Market & competitive research
Financial modeling logic (DCF, LBO, comps)
Act as human-in-the-loop reviewer , identifying reasoning gaps and hallucinations
Guide or perform financial data annotation , including:
Financial statements (10-K, 10-Q)
Earnings calls & transcripts
Market signals, risk factors, deal attributes
Ensure data quality suitable for model training and fine-tuning
Provide structured feedback to AI and product teams
Recommend improvements to:
Model accuracy
Financial relevance
Reasoning depth
Domain alignment
Qualification
Required
12+ years of hands-on experience in at least one: Asset Management, Private Equity, Equity Research, Investment Banking
Must have personally performed core workflows (not support roles)
AI Modeling
AI-assisted portfolio optimization, forecasting, risk scoring, or modeling
Rubrics Creation / Evaluation
Defining correct vs incorrect financial reasoning
LLMs
Evaluating AI-generated research, memos, scenarios (not just generating text)
Data Annotation
Labeling or structuring financial data for AI workflows
Prompt Engineering
Designing prompts to stress-test financial logic (bull vs bear, edge cases)
Strong analytical and critical thinking skills
Ability to explain complex finance concepts clearly
Experience collaborating with AI, ML, or engineering teams
High attention to detail