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Part Time Financial Software Developer Jobs in Seattle, WA

YO AI Labs

AI Finance Expert - Remote

Seattle, WA · Remote

$100 - $200/hr

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Finance Domain ... Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing

LHH US

Part-Time Bookkeeper

Seattle, WA · On-site +1

$33 - $35/hr

LHH is partnering with a nonprofit organization to identify a part-time Bookkeeper for their team ... related financial experience. * Proficiency with accounting software such as QuickBooks, Sage ...

LHH US

Part-Time Bookkeeper

Seattle, WA · On-site +1

$33 - $35/hr

LHH is partnering with a nonprofit organization to identify a part-time Bookkeeper for their team ... related financial experience. * Proficiency with accounting software such as QuickBooks, Sage ...

Shield AI

Staff Engineer, Manufacturing

Seattle, WA · On-site

$150K - $230K/yr

Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Salvation Army

Finance Clerk / Office Aide

Tacoma, WA · On-site

$19 - $25.50/hr

Temporary, Part Time; Non-Exempt 20 hrs/week (M-W-F) This is a temporary position starting in June ... Maintain confidentiality of financial, personnel, donor, participant, and organizational ...

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Showing results 21-40

All JobsFinancial Software Developer JobsPart Time Financial Software Developer JobsPart Time Financial Software Developer Jobs in Seattle, WA

Part Time Financial Software Developer information

See Seattle, WA salary details

$39

$72

$161

How much do part time financial software developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for part time financial software developer in Seattle, WA is $72.59, according to ZipRecruiter salary data. Most workers in this role earn between $54.71 and $73.32 per hour, depending on experience, location, and employer.

What is the difference between Part Time Financial Software Developer vs Part Time Financial Analyst?

AspectPart Time Financial Software DeveloperPart Time Financial Analyst
Required CredentialsDegree in Computer Science, Finance, or related field; programming skillsDegree in Finance, Economics, or related field; analytical skills
Work EnvironmentSoftware development teams, tech companies, financial institutionsFinancial firms, investment banks, corporate finance departments
Employer & Industry UsageTech and finance sectors focusing on software solutionsFinancial analysis, reporting, and decision-making roles
Common Search & Comparison IntentUnderstanding roles involving finance and software developmentComparing financial analysis roles with technical development roles

The Part Time Financial Software Developer focuses on creating and maintaining financial software applications, requiring programming skills and technical expertise. In contrast, the Part Time Financial Analyst analyzes financial data to support decision-making. While both roles may work within financial institutions, their core responsibilities and skill sets differ significantly.

What are the most commonly searched types of Financial Software Developer jobs in Seattle, WA?

The most popular types of Financial Software Developer jobs in Seattle, WA are:

Part Time Financial Software Developer jobs near you
Infographic showing various Part Time Financial Software Developer job openings in Seattle, WA as of July 2026, with employment types broken down into 11% Internship, 11% Full Time, 73% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $150,990 per year, or $72.6 per hour.

AI Finance Expert - Remote

Seattle, WA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$100 - $200/hr

Part-time

Re-posted 4 days ago

Job description

Job Title: AI Finance Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Finance Domain Experts to contribute their financial expertise to an innovative project at the intersection of finance and artificial intelligence. In this role, you will help improve next-generation AI systems by reviewing, evaluating, and refining AI-generated financial content. No prior AI experience is required—your financial expertise, analytical skills, and professional judgment are what matter most.

Key Responsibilities

  • Analyze, review, and edit AI-generated financial content for accuracy, clarity, and relevance.

  • Develop, refine, and evaluate prompts related to financial analysis, valuation, and investment decision-making.

  • Assess and annotate financial data, reports, and AI-generated outputs using structured evaluation criteria.

  • Author and review investment memos, due diligence reports, research summaries, and technical documentation.

  • Evaluate AI outputs for logical consistency, factual accuracy, and adherence to professional financial standards.

  • Conduct independent research and fact-checking to validate financial information.

  • Provide detailed feedback to improve AI model performance and financial reasoning.

Required Skills

  • Critical Thinking

  • Analytical Reasoning

  • Quality Assurance

  • Prompt Engineering

  • AI Output Evaluation

  • Financial Analysis

  • Technical & Report Writing

  • Business Communication

  • Content Review & Editing

  • Fact Checking

  • Data Interpretation

  • Data Annotation

  • Problem-Solving

  • Independent Research

  • Attention to Detail

Preferred Qualifications

  • Minimum 3 years of experience in private equity, venture capital, investment banking, equity research, corporate development, investment management, or strategic finance.

  • Experience preparing investment memos, valuation analyses, financial models, due diligence reports, or market research.

  • Strong analytical, critical thinking, and problem-solving skills.

  • Excellent written communication and professional editing abilities.

  • Experience with prompt authoring, AI output evaluation, data annotation, or content review is a plus.

  • Master's, MBA, JD, PhD, or another advanced degree is preferred.

  • Commitment to producing high-quality, accurate, and well-documented work.