AI Data Operations, Human Native
+ Stock options
3+ days a week in office
AI Data marketplace
Be an early applicant
AI Data marketplace
1-20 employees
Be an early applicant
+ Stock options
3+ days a week in office
1-20 employees
Company mission
To help creative humans thrive in the age of AI.
Role
Who you are
- We’re looking for someone who cares about people, AI, and protecting the creative industries and who comes with a can-do, growth mindset and likes to move fast
- Strong track record in Data Ops with demonstrated capability in designing and implementing protocols and tools
- Ability to articulate data requirements to various stakeholders
- Hands-on experience managing communications, including PR and investor relations
- Previous experience working at an early-stage startup
- Computer Science, Mathematics, Statistics or Data Science, or related field background
- Strive for excellence in every aspect of work, consistently taking ownership of your results and delivering measurable impact
- Can handle a wide variety of matters, in a fast-paced startup environment with a large amount of ambiguity
- Process-oriented, organised, and able to work well in unstructured environments
- A humble attitude, energetic personality and are eager to learn whatever it might take given the speed of evolution in AI technologies and the landscape surrounding them
What the job involves
- At Human Native we're looking for a AI Data Operations to join our team
- As an early team member you will be a key part of establishing our data ops and our culture for years to come
- Working closely with our head of Operations to develop and execute our Ops Data strategy to design tech processes improving how we collect and process data from our (potential) suppliers
- Develop tools to resurface key information from (potential) suppliers' datasets so that a non-tech user can understand them
- Develop tools and processes to continuously control the quality of datasets, either sourced from (potential) supplier or produced by Human Native
- Find creative ways to enrich existing datasets, aligned with identified demand needs
- Connect with the global AI Dev community to better understand their needs
Salary benchmarks
Our take
The UK government recently abandoned plans for an industry-led AI copyright code of practice and is now focusing on achieving greater transparency in data usage by AI developers, while continuing to engage with stakeholders to find a non-statutory solution. Human Native AI is contributing to this space with it's fair and equitable AI data marketplace, connecting rights holders and AI developers to ensure responsible data use and fair compensation.
The platform offers a comprehensive catalog of high-quality, licensed content, enabling AI developers to access and utilise premium data responsibly. What sets Human Native AI apart is the commitment to both high data quality and the rights of content creators. Rights holders have granular control over the use of their works and receive fair compensation through licensing agreements, revenue sharing, or subscriptions.
The company has already raised £2.8 million in seed funding led by LocalGlobe and Mercuri, highlighting the support for its innovation. Moving forward, Human Native AI plans to expand the team, develop the product further, and establish new partnerships. It will be interesting to see how the company's journey develops as it fosters a sustainable and fair ecosystem for AI data.
Steph
Company Specialist at Welcome to the Jungle
Company
Funding (1 round)
May 2024
$3.8m
SEED
Total funding: $3.8m
Company benefits
- A fast-growing company with opportunities for career advancement
- Competitive benefits package that includes private medical insurance
- Stock options; we want you to have ownership in the company
Company HQ
Nine Elms, London, UK
Articles
Leadership
James Smith
(CEO)Also an Industry Advisor at Saïd Business School, University of Oxford. Previously worked at Google for over 10 years, most recently as a Group Product Manager.
Jack Galilee
(CTO)Previously worked at GRAIL through several roles, most recently as Director, Software Engineering & Principal Software Architect. Prior to this worked as a Senior Software Engineer at Skyscanner.
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