Software Engineer, AI Training

Prepares individual, business, and fiduciary tax returns and projections; researches tax issues; supports engagement planning; communicates with clients and engagement leaders; manages deadlines and budgets; identifies engagement opportunities; provides technical client assistance; and participates in professional development and community activities. Top Skills: AdobeAxcessCasewareDepreciation Processing SoftwareGofileroomExcelMicrosoft PowerpointMicrosoft WordRia Wipfli

Senior Accountant

29 Minutes Ago Remote or Hybrid Senior level Senior level Cloud * Fintech * Software * Business Intelligence * Consulting * Financial Services Manage partnership tax compliance and advisory engagements, including federal and multistate returns, tax research, projections, and client communications. Lead client relationships, support business development, mentor staff, coordinate multidisciplinary teams, and ensure engagement deadlines and budgets are met. The role focuses on Subchapter K partnership taxation and requires technical consultation, review of tax-related information, and use of tax preparation software. Wipfli

Senior Accountant

29 Minutes Ago Remote or Hybrid Senior level Senior level Cloud * Fintech * Software * Business Intelligence * Consulting * Financial Services Manage partnership tax compliance and advisory engagements, review federal and multistate returns, handle client relationships, consult on technical tax matters, support business development, and mentor staff. Prepare individual, business, and fiduciary returns, conduct tax research, communicate with engagement leaders, manage deadlines and budgets, and provide client technical assistance, primarily involving Subchapter K partnership taxation.

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Evaluate AI coding-agent interactions for usefulness, correctness, engineering judgment, reasoning quality, and user trust. Provide rigorous written feedback, distinguish response quality levels, help define evaluation standards, and record short video explanations. The role requires senior-level software engineering experience, familiarity with AI-assisted development tools, strong TypeScript/JavaScript or Python skills, and excellent English communication., * Senior, Staff or Principal-level engineer (or equivalent experience)

• Strong background in TypeScript/JavaScript or Python

• Hands-on experience with at least one of OpenAI Codex, Claude Code or Cursor

• Deep familiarity with modern AI-assisted dev workflows

• Able to evaluate code without executing it or reviewing every line

• Strong written and spoken English (B2 or above). You’ll be writing detailed feedback and recording short video explanations, so this is a hard requirement

• Comfortable giving direct, opinionated feedback

• High bar for what good engineering looks like

Nice to have

• Prior exposure to prompt design or evaluation workflows

• Experience mentoring senior engineers or defining engineering standards

The summary above was generated by AI

Check out this Loom video for more details: https://www.loom.com/share/b0d1b0bf24c44ae8b95dca84b9db60e5

We’re looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code.

This is not a traditional engineering role. You won’t be writing production code. You’ll be evaluating something harder: whether the model thinks like a great engineer.

What this role actually is

You will assess how AI coding agents behave in real-world scenarios, focusing on:

• Whether the response makes sense

• Whether the preamble and reasoning are useful

• Whether the output reflects strong engineering judgment

• Whether the interaction feels right to an experienced developer

This role is about engineering taste. Syntax correctness is the easy part.

What you’ll be doing

• Evaluate AI-generated coding interactions end to end

• Judge whether outputs are useful, correct at a high level, and aligned with how a strong engineer would think

• Assess the quality of explanations and reasoning, not just the code

• Distinguish between levels of response quality (what makes something a 2 vs a 4)

• Give clear, opinionated feedback in writing on what worked, what didn’t, and what felt off or misleading

• Help define what great looks like when working with tools like Cursor, Codex and Claude Code

What we mean by “taste”

We’re looking for engineers who can answer questions like:

• Does this feel like something a strong engineer would actually say?

• Is this explanation helpful, or just technically correct?

• Is the model guiding the user well, or just dumping output?

• Would this interaction build or erode trust?

You should be comfortable making subjective but rigorous judgments, and explaining them clearly., * Rate: $100-$200/hour depending on experience and location

• Hours: 10-20 hours/week, flexible

• Duration: ongoing. Projects run from about two weeks to a few months each, and we offer new ones to evaluators who do well

• Start: as soon as you clear the take-home and a project has an open seat

• Process: one take-home evaluation exercise with a recorded Loom walkthrough. No interview