Strategic Project Lead - Finance
Appen is hiring for the position of Strategic Project Lead - Finance as a remote role open to applicants in United States. The listing describes it as a full-time, senior position.
DGJ summary of this job
Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.
Appen is hiring for the position of Strategic Project Lead - Finance as a remote role open to applicants in United States. The listing describes it as a full-time, senior position.
The advert mentions computer vision and accounting among the skills and tools for this role.
The employer does not state a salary in this listing; DGJ Insight below shows an official pay benchmark for the place where one exists.
Dev Global Jobs found this job on Jobicy on Nov 6, 2026.
- Employer
- Appen
- Location
- Remote (United States)
- Job type
- Full-time
- Level (from the title)
- senior
- Pay
- Not stated by the employer
- Found
- Nov 6, 2026 on Jobicy
- Employer text
- 409 words, about 2 min to read
- Apply only on the official page (jobicy.com). Dev Global Jobs is not the employer and never asks for a fee.
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DGJ Insight
Our own data about this role and place, from official statistics and our live job index.
Source: OECD Average annual wages, 2025
About the role
Full text from the employer, as published on Jobicy, arranged into sections. Nothing added or removed.
Appen's Strategic Project Management team is central to the company's growth strategy, partnering with leading AI companies and frontier model developers to deliver the data that makes models work. As Strategic Project Lead - Finance, you will run strategic finance pilots and research projects for financial AI model training and evaluation, from initial scoping through to operationalization. This is a hands-on role bridging customer objectives, financial expertise, and Appen's global delivery capability.
01Your Impact
You'll own the success of frontier financial AI pilots, turning emerging use cases into validated programs that meet defined standards for financial quality, feasibility, and cost.
You will shape how market data, financial statements, filings, disclosures, and quantitative and risk models are used for model training and evaluation.
This role is responsible for turning a pilot into a scalable project including workflows, expert requirements, and quality standards, developed with researchers and Appen's global delivery teams.
02What You Bring
- Strong background in finance, financial engineering, economics, or accounting.
- 2+ years leading complex projects, operational workflows or finance initiatives.
- Depth in financial data, markets, accounting, or modeling, and the ability to judge when a dataset is fit for purpose.
- Comfort working at pace in a high-intensity environment with an entrepreneurial approach.
03Nice to Have
- Experience with AI or ML companies, AI labs, or data annotation and evaluation projects.
- Experience managing finance-focused, technical, or data-intensive projects.
- Familiarity with data pipelines, AI training workflows, model evaluation, or human-in-the-loop operations.
04Why You'll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest quality AI solutions for frontier models.
You'll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You'll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources, and development opportunities to continue to build your capability over time.
05About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.
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