Alignerr
Data Acquisition Director

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Data Acquisition Director
Data Acquisition Director (AI Training)
About the Role
What if your ability to find, evaluate, and secure the right data could directly determine how intelligent the next generation of AI becomes? We're looking for a Data Acquisition Director to lead the strategy and execution of sourcing high-quality datasets that fuel cutting-edge AI systems—from text and language corpora to structured records, multimedia assets, and beyond.
AI is only as good as the data it learns from. In this strategic leadership role, you’ll ensure that data is world-class—diverse, representative, ethically sourced, and precisely what our models need to evolve. This role offers real autonomy and a direct impact on scaling AI development.
This is a fully remote, flexible contract position. While prior AI experience isn’t required, a strong proven track record in data sourcing, vendor management, partnerships, or content acquisition is essential.
Organization: Alignerr Type: Hourly Contract Location: Remote Commitment: 20–40 hours/week
What You’ll Do
- Develop and execute data acquisition strategies to source high-quality, diverse datasets for AI training and evaluation
- Identify, evaluate, and negotiate with data providers, content partners, and vendors worldwide
- Define data requirements in collaboration with AI research and engineering teams
- Assess data quality, coverage, licensing, and compliance, ensuring adherence to ethical and legal standards, including GDPR and UK data protection frameworks
- Build and manage a pipeline of data sources across multiple formats, languages, and domains
- Monitor market trends and emerging data sources to anticipate evolving AI training needs
- Establish and maintain quality control processes for incoming datasets
- Track acquisition metrics, budgets, and timelines, reporting progress and ROI
- Coordinate with cross-functional teams (legal, engineering, product) for seamless data integration
- Document sourcing strategies, vendor relationships, and acquisition workflows
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Who You Are
- Experienced in data sourcing, content acquisition, licensing, vendor management, or related strategic functions
- Strong negotiator with a track record of building productive partnerships and closing deals
- Analytical and detail-oriented, capable of evaluating data quality and fitness-for-purpose
- Comfortable working across diverse data types—text, audio, images, structured records, and more
- Excellent communicator who can translate technical data needs into clear sourcing requirements
- Self-directed and organized, thriving with autonomy and managing competing priorities effortlessly
- Familiar with data privacy, licensing frameworks, and ethical data collection considerations
- Intellectually curious about AI, motivated by shaping how intelligent systems learn


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Nice to Have
- Background in data science, information management, digital media, publishing, or research
- Experience sourcing data for machine learning or AI training pipelines
- Knowledge of data annotation, labeling, or crowdsourcing workflows
- Familiarity with international data regulations (GDPR, UK Data Protection Act, etc.)
- Experience managing distributed or remote teams and global vendor networks
- Multilingual skills or experience with cross-regional data sourcing
- Prior work with research institutions, archives, or large-scale content repositories
Why Join Us
✅ Work on cutting-edge AI projects with world-leading research labs ✅ Fully remote & flexible—set your own hours and location ✅ High-autonomy leadership role with strategic influence over AI development ✅ Shape the foundation of intelligent systems—your work has outsized impact ✅ Collaborate with a global, interdisciplinary team of researchers, engineers, and specialists ✅ Potential for ongoing work and contract extension as new projects and data needs emerge
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