The 2025 Guide to Hiring AI Talent: Roles, Skills, Deliverables and Day Rates

By

Gigged.AI
August 19, 2025

As organisations increase investment in Artificial Intelligence, Chief Information Officers (CIOs), Chief Technology Officers (CTOs), and Chief Data Officers (CDOs) face a common challenge of how to hire the right AI talent for the right projects. We highlighted this in our AI Talent Crisis research earlier this year. Whether deploying and fine tuning large language models (LLMs), building automation through RPA, or validating AI models for safety and fairness, having the right talent is critical. 

As we have discussed in previous blogs, more than half of enterprises have a hiring freeze and are turning to on-demand talent models.

We get asked regularly in RFPs and client meetings to share data on skills, deliverables and day rates. This guide breaks down the key categories of AI hiring that we have seen across the Gigged.AI On-Demand Talent Platform in 2025 so far including role title, role description, common deliverables, popular required skills and day rates. 

Category Role Title Role Description Top 3 Skills Example Deliverables Day Rate (Approx.)
Large Language Models (LLMs) LLM Engineer Designs, fine-tunes, and deploys large language models.
  • Deep learning frameworks (PyTorch, TensorFlow)
  • Transformer architectures & scaling
  • API integration & optimisation
  • Build and fine-tune LLMs
  • Optimise performance
  • Integrate into business systems
£440–£700
Prompt Engineer Designs and optimises prompts to improve LLM performance.
  • Natural language processing
  • Experimentation & evaluation
  • Domain knowledge
  • Prompt libraries
  • Benchmarking reports
  • Contextual optimisation
£200–£450
Red Team Specialist Tests AI systems for robustness, safety, and misuse.
  • Adversarial ML & security testing
  • Risk analysis & threat modelling
  • Ethical hacking
  • Red-team assessment reports
  • Risk documentation
  • Mitigation recommendations
£500–£750
Machine Learning & AI Research Data Scientist Builds statistical & ML models to extract insights.
  • Statistical modelling
  • Python/R programming
  • Data wrangling & visualisation
  • Predictive models
  • Insight reports
  • Optimisation algorithms
£450–£700
ML Engineer Deploys ML models into production.
  • ML frameworks (scikit-learn, TF, PyTorch)
  • Software engineering & APIs
  • Deployment & scaling
  • Production-ready pipelines
  • Scalable APIs
  • Optimised models
£500–£700
Model Research Scientist Explores new algorithms, architectures, and fine-tuning.
  • Advanced ML/LLM architectures
  • Experimental design
  • Python/TensorFlow/PyTorch
  • Research whitepapers
  • Prototypes
  • Adoption recommendations
£500–£700
Model Validation Specialist Validates models for bias, safety, and accuracy.
  • Statistical evaluation
  • Bias/fairness frameworks
  • Explainability tools (SHAP, LIME)
  • Validation reports
  • Fairness audits
  • Mitigation strategies
£450–£650
MLOps Engineer Builds ML deployment, CI/CD, and monitoring pipelines.
  • Kubernetes/Docker
  • Cloud ML platforms (AWS/Azure/GCP)
  • Monitoring/observability
  • Automated pipelines
  • Monitoring dashboards
  • Cost optimisation
£500–£700
Data Roles Supporting AI Data Labelling Specialist Provides annotated datasets for AI/ML models.
  • Attention to detail
  • Annotation tools
  • Data QA
  • Labeled datasets
  • QC reports
  • Dataset feedback
£150–£250
Data Annotation Lead Oversees labelling teams and QA.
  • QA frameworks
  • Team leadership
  • Error analysis
  • QA frameworks
  • Accuracy reports
  • Improved guidelines
£250–£350
Data Engineer Manages pipelines & infrastructure for AI workloads.
  • Data warehousing (SQL/NoSQL)
  • ETL pipelines
  • Cloud platforms
  • Data pipelines
  • Scalable infrastructure
  • Integrated datasets
£420–£650
Data Modeller Designs conceptual/logical/physical data models.
  • Data architecture
  • Database design
  • Stakeholder comms
  • ERDs/star schemas
  • Governance docs
  • BI/AI integration models
£400–£600
Robotic Process Automation (RPA) RPA Developer Designs and deploys RPA bots.
  • UiPath/Automation Anywhere/Blue Prism
  • Scripting (Python, VB, C#)
  • Process mapping
  • Automated scripts
  • Monitored bots
  • Documentation
£380–£550
RPA Solution Architect Designs RPA solutions aligned with enterprise architecture.
  • RPA platforms
  • System integration
  • Architecture frameworks
  • Automation design
  • Governance frameworks
  • Performance monitoring
£650–£750
Intelligent Document Processing (IDP) Document Processing Consultant Implements IDP tools for document extraction & validation.
  • IDP tools (ABBYY, Kofax, AWS Textract)
  • OCR/ML
  • Data validation
  • Classification models
  • Structured datasets
  • Validation pipelines
£400–£450
Workflow Management (iBPMS / Orchestration) Workflow Developer Builds automated workflows across AI, RPA, and human tasks.
  • Workflow tools (Power Automate, Camunda)
  • API integration
  • Process optimisation
  • Automated workflows
  • Dashboards
  • Documentation
£400–£450
Workflow Solution Architect Designs enterprise-wide workflow architectures.
  • BPM/iBPMS platforms
  • Enterprise integration
  • Governance & compliance
  • Architecture blueprints
  • Governance frameworks
  • Optimisation strategies
£600–£750

Conclusion

Hiring for AI is no longer about finding “a data scientist.” Enterprises need specialists across the lifecycle from data labelling and research, to engineering and deployment, to validation and workflow integration. These experts can be hired through Gigged.AI on a Statement of Work (SOW) basis, giving you time and material (T&M) or outcome-based access to top talent without the overhead of permanent hires.

Do you need access to skilled AI talent for your enterprise?

These experts can be hired through Gigged.AI on a Statement of Work (SOW) basis, giving you time and material (T&M) or outcome-based access to top talent without the overhead of permanent hires.

Simply request a demo of our On-Demand Talent Platform to see how it works.

Just need to know an average day rate? Ask our simple GPT.

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