AI Data Operations

About Human Native

Human Native AI is an AI data marketplace that fairly benefits both rights holders and AI developers. 

We provide a catalogue of prepared, licensed content, to help developers responsibly acquire the high-quality data they need, at scale to power amazing advances in AI products.

We help rights holders get a fair deal for this content -, indexing, benchmarking, and evaluating datasets to demonstrate their quality and value. We give them granular control over what use cases their work is licensed for and at what price.

We recognise the challenge of this mission and know that only a strong cohesive team can fulfil it. We want the team to be made up of people who are courageous, adaptable, results- oriented, and bring energy to everything they do. We help one another grow, take on new opportunities, and don’t shy away from learning. We support one another so that we can realise our mission.

About the job

As an early team member you will be a key part of establishing our data ops and our culture for years to come. 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.

What you’ll do at Human Native AI

• 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.

About you

What we're looking for

• 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.

Benefits

• A fast-growing company with opportunities for career advancement and learning.

• Competitive salary and benefits package that includes private medical insurance.

• Stock options; we want you to have ownership in the company.