Evaluates AI-generated investment analysis, valuation, and credit work products, including documents, spreadsheets, and presentations. Applies expert financial judgment to assess accuracy, rigor, factual correctness, aesthetics, and domain quality against structured rubrics. Provides clear written feedback on identified issues. This is a fully remote, flexible independent-contractor engagement paid hourly.
This role is for one of our clients
Compensation: $80 - $120 per hour
We are hiring expert Evaluators in Investment analysis / valuation / credit to review and assess AI-generated work products (documents, spreadsheets, and slide decks) for accuracy, rigor, and domain quality. You will apply deep subject-matter expertise to grade outputs.
This is a remote, hourly engagement.
Requirements
Requirements (must have)
- 5+ years of relevant professional experience in Investment analysis / valuation / credit.
- Native or professional fluency in English.
- Highly proficient in Microsoft Office and Google Workspace, especially Slides (Google Slides / PowerPoint).
Preferred (nice to have)
- Advanced degree (Master's or higher) from a reputable institution.
What you'll do
- Evaluate AI-generated artifacts against domain-specific quality rubrics.
- Identify factual, aesthetic, and presentation errors.
- Provide clear, structured written feedback.
We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
Contract and Payment Terms
- You will be engaged as an independent contractor.
- This is a fully remote role that can be completed on your own schedule.
- Projects can be extended, shortened, or concluded early depending on needs and performance.
- Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are weekly on Stripe or Wise based on services rendered.
- Please note: We are unable to support H1-B or STEM OPT candidates at this time.
Similar Jobs
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Principal Software Engineer leading frontend and full-stack architecture for Atlassian’s Growth Platform. The role defines technical strategy for messaging, personalization, notifications, and experimentation systems; designs scalable microservices, APIs, data models, and React/TypeScript components; drives performance, reliability, security, accessibility, observability, and CI/CD standards; and influences multiple teams through architecture reviews, cross-functional partnership, and mentorship.
Top Skills:
APIsAutomated TestingCi/CdClient SdksClient-Side State ManagementCore Web VitalsCSSData ModelingDistributed SystemsDistributed TracingHTML5Javascript Es6+MicroservicesObservabilityReactTelemetryTypescript
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Provides organization-wide technical leadership for Atlassian’s Dev AI platforms and autonomous developer initiatives. Defines multi-year architectures for agent runtimes, orchestration engines, execution sandboxes, memory systems, and context retrieval. Drives distributed-system architecture, reliability, security, responsible AI governance, evaluation, and operational standards. Leads cross-organizational technical initiatives, resolves architectural ambiguity, mentors senior engineers, partners with product and engineering leaders, and remains hands-on with strategic prototypes and architectural validation.
Top Skills:
Agent OrchestrationAi Evaluation FrameworksArtificial IntelligenceAtlassian Teamwork GraphAutonomous Ai AgentsBitbucketCode IntelligenceCode SynthesisDistributed SystemsJIRAResponsible AiRetrieval SystemsRuntime SandboxesSemantic SearchTelemetry
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Lead enterprise customer engagements to adopt and operationalize Atlassian’s Rovo AI platform. Facilitate discovery, design and configure AI agents and connectors, guide deployments from sandbox to production, and drive measurable adoption outcomes. Own engagement playbooks, enable internal teams, provide product feedback, and collaborate with sales, customer success, product, and engineering teams. The role involves supporting complex enterprise use cases, mentoring without direct authority, and up to 15% domestic and international travel.
Top Skills:
Agentic WorkflowsAi AgentsAtlassianConfluenceGitGoogle DriveJIRALlm-Powered ArchitecturesPrompt EngineeringRovoRovo StudioSharepointSlack
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

