Appen

Provides human-annotated data for AI training

Strategic Project Lead - Finance

Program ManagementConfirmed live in the last 24 hours

Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

Strong background in finance, financial engineering, economics, or accounting.
At least 2 years of experience leading complex projects, operational workflows, or finance initiatives.
Depth in financial data, markets, accounting, or modeling, with the ability to assess whether a dataset is fit for purpose.
Ability to work at pace in a high-intensity environment with an entrepreneurial approach.

Responsibilities

Run strategic finance pilots and research projects for financial artificial intelligence model training and evaluation, from initial scoping through operationalization.
Own the success of frontier financial artificial intelligence pilots by turning emerging use cases into validated programs that meet defined standards for financial quality, feasibility, and cost.
Shape how market data, financial statements, filings, disclosures, and quantitative and risk models are used for model training and evaluation.
Turn pilots into scalable projects, including workflows, expert requirements, and quality standards, in collaboration with researchers and global delivery teams.

Desired Qualifications

Experience with artificial intelligence or machine learning companies, artificial intelligence labs, or data annotation and evaluation projects.
Experience managing finance-focused, technical, or data-intensive projects.
Familiarity with data pipelines, artificial intelligence training workflows, model evaluation, or human-in-the-loop operations.

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.

Your 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.

What 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.

Nice 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.

Why 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.

About 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.

About the Company

Appen

Provides human-annotated data for AI training

Appen creates and curates large datasets used to train and improve artificial intelligence. It relies on a global, crowdsourced workforce to produce human-annotated data across text, images, audio, and video, which powers AI systems such as search engines and social feeds. Its products include data annotation services and platforms (like Figure Eight) and specialized data like mobile location data (Quadrant) to support ML pipelines. The company differentiates itself through scale, a broad range of data types, and a history of strategic acquisitions that expand its capabilities (e.g., Leapforce for search relevance, Figure Eight for annotation tooling, Quadrant for location data), enabling end-to-end data supply for enterprise AI. Its goal is to help organizations build reliable AI by providing high-quality labeled data and to capitalize on opportunities in generative and enterprise AI while returning to profitability under new leadership.

Company size: 10,001+
Company stage: IPO
Headquarters: Sydney NSW, Australia
Founded: 1996

Recently Posted Jobs

Explore more opportunities at Appen

See more jobs