FreelanXAI & Data job descriptions
Data and AI roles turn raw data into decisions and products. Say which data exists, where it lives, and what decision or feature it should serve.
Data analyst
Reports, dashboards and answers from your data.
- Answer business questions with clean, reproducible analyses.
- Build and maintain dashboards with clear definitions of metrics.
- Write SQL that others can read and reuse.
- Present findings and recommendations to non-technical people.
- JuniorWorks on well-defined tasks with regular review; learns the tools and the domain.
- MidOwns features or deliverables end to end; asks for help on complex trade-offs.
- SeniorLeads complex work, makes trade-offs, reviews others and mentors.
- LeadSets direction for a team or a domain, plans the work and grows people.
- PrincipalShapes practice across teams and long-term choices; trusted advisor to leadership.
- Churn dashboard and report
- Data warehouse in SQL
- Forecasting model for demand
- Chatbot on internal documents
- Fixed-price missionA defined deliverable, split into milestones; FreelanX holds the funds and releases each approved milestone.
- Day or hourly rateOngoing or uncertain scope, with a budget cap and regular milestones.
- Employee through FreelanX EORA long-term role abroad: FreelanX EOR is the legal employer, from $499 per employee per month.
- A metric dropped 15% overnight: how do you investigate?
- How do you make sure two dashboards show the same revenue?
- Tell me about an analysis that changed a decision.
Median day rate in USD of the profiles of this role on FreelanX, by seniority, computed in your browser from the directory.
[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Reports, dashboards and answers from your data. [Add the context: the product, the team and why the role matters now.]
- Answer business questions with clean, reproducible analyses.
- Build and maintain dashboards with clear definitions of metrics.
- Write SQL that others can read and reuse.
- Present findings and recommendations to non-technical people.
- SQL
- Excel
- Tableau
- Power BI
- Looker
- Python
- Google Analytics
- A/B testing
- Dashboards
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Data engineer
Pipelines, warehouses and data quality.
- Build reliable batch and streaming pipelines.
- Model data in the warehouse for analytics and machine learning.
- Monitor data quality, freshness and costs.
- Document data sources, lineage and access rules.
- JuniorWorks on well-defined tasks with regular review; learns the tools and the domain.
- MidOwns features or deliverables end to end; asks for help on complex trade-offs.
- SeniorLeads complex work, makes trade-offs, reviews others and mentors.
- LeadSets direction for a team or a domain, plans the work and grows people.
- PrincipalShapes practice across teams and long-term choices; trusted advisor to leadership.
- Churn dashboard and report
- Data warehouse in Spark
- Forecasting model for demand
- Chatbot on internal documents
- Fixed-price missionA defined deliverable, split into milestones; FreelanX holds the funds and releases each approved milestone.
- Day or hourly rateOngoing or uncertain scope, with a budget cap and regular milestones.
- Employee through FreelanX EORA long-term role abroad: FreelanX EOR is the legal employer, from $499 per employee per month.
- How would you design an incremental load for a large table with late updates?
- What data quality checks do you put in a pipeline by default?
- How do you control warehouse costs as usage grows?
Median day rate in USD of the profiles of this role on FreelanX, by seniority, computed in your browser from the directory.
[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Pipelines, warehouses and data quality. [Add the context: the product, the team and why the role matters now.]
- Build reliable batch and streaming pipelines.
- Model data in the warehouse for analytics and machine learning.
- Monitor data quality, freshness and costs.
- Document data sources, lineage and access rules.
- Spark
- Airflow
- dbt
- Snowflake
- BigQuery
- Kafka
- Databricks
- ETL
- Python
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Data scientist
Statistical models, forecasts and experiments.
- Frame business problems as measurable modelling questions.
- Build, validate and explain predictive or statistical models.
- Design and analyse experiments.
- Work with engineers to put models in production and monitor them.
- JuniorWorks on well-defined tasks with regular review; learns the tools and the domain.
- MidOwns features or deliverables end to end; asks for help on complex trade-offs.
- SeniorLeads complex work, makes trade-offs, reviews others and mentors.
- LeadSets direction for a team or a domain, plans the work and grows people.
- PrincipalShapes practice across teams and long-term choices; trusted advisor to leadership.
- Churn dashboard and report
- Data warehouse in Python
- Forecasting model for demand
- Chatbot on internal documents
- Fixed-price missionA defined deliverable, split into milestones; FreelanX holds the funds and releases each approved milestone.
- Day or hourly rateOngoing or uncertain scope, with a budget cap and regular milestones.
- Employee through FreelanX EORA long-term role abroad: FreelanX EOR is the legal employer, from $499 per employee per month.
- How do you choose the evaluation metric for an imbalanced classification problem?
- An A/B test shows +2% with p = 0.04: what do you check before recommending a launch?
- How do you explain a model's prediction to a business stakeholder?
Median day rate in USD of the profiles of this role on FreelanX, by seniority, computed in your browser from the directory.
[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Statistical models, forecasts and experiments. [Add the context: the product, the team and why the role matters now.]
- Frame business problems as measurable modelling questions.
- Build, validate and explain predictive or statistical models.
- Design and analyse experiments.
- Work with engineers to put models in production and monitor them.
- Python
- R
- Machine learning
- Scikit-learn
- Statistics
- Forecasting
- A/B testing
- Pandas
- NLP
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
7 more AI & Data roles
Each card copies a job description with the role summary, the skills and the practical details; write the outcomes in the bracket.
Models trained, deployed and monitored.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Models trained, deployed and monitored. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- PyTorch
- TensorFlow
- MLflow
- Python
- Computer vision
- NLP
- Kubeflow
- Model deployment
- Feature stores
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Applications built on large language models.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Applications built on large language models. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- LLM
- RAG
- LangChain
- OpenAI API
- Vector databases
- Python
- Prompt engineering
- Fine-tuning
- Agents
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Dashboards and data models in BI tools.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Dashboards and data models in BI tools. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- Power BI
- Tableau
- Looker
- DAX
- SQL
- Qlik
- SSAS
- Data modelling
- Dashboards
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Clean, tested data models for analysis.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Clean, tested data models for analysis. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- dbt
- SQL
- Snowflake
- BigQuery
- Data modelling
- Looker
- Git
- Data testing
- Fivetran
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Prompts, evaluations and guardrails for AI features.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Prompts, evaluations and guardrails for AI features. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- Prompt engineering
- LLM
- Evaluation
- Guardrails
- RAG
- Python
- Red teaming
- Content safety
- Few-shot design
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Deployment, monitoring and retraining of models.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Deployment, monitoring and retraining of models. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- MLflow
- Kubeflow
- Kubernetes
- Docker
- SageMaker
- Vertex AI
- Model monitoring
- CI/CD
- Python
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Where AI helps your business, and how to start.
Customise it in the generator[Company] · [Seniority] · [Location and time zone] · [Freelance mission / Employee through FreelanX EOR]
Where AI helps your business, and how to start. [Add the context: the product, the team and why the role matters now.]
- [Add the 3 to 5 outcomes that matter most: what will be different after the mission or the first six months.]
- AI strategy
- Use case discovery
- LLM
- Change management
- Data governance
- Roadmaps
- Responsible AI
- Workshops
- Business cases
- Google Professional Data Engineer
- Python, SQL, Jupyter, Git, Statistics, Data visualisation, Pandas, Cloud data
- Start: [date]
- Duration: [length, or permanent]
- Location and time zone: [where]
- Languages: [languages]
- Budget or pay: [range]
Send a short note on a similar piece of work, with a link if you can share it, and your availability.
Questions about these roles
What does a data analyst do?
Reports, dashboards and answers from your data. Answer business questions with clean, reproducible analyses. Build and maintain dashboards with clear definitions of metrics.
What does a data engineer do?
Pipelines, warehouses and data quality. Build reliable batch and streaming pipelines. Model data in the warehouse for analytics and machine learning.
What does a data scientist do?
Statistical models, forecasts and experiments. Frame business problems as measurable modelling questions. Build, validate and explain predictive or statistical models.
Which other AI & Data roles can I hire on FreelanX?
Machine learning engineer, AI engineer, BI developer, Analytics engineer, Prompt engineer, MLOps engineer, AI consultant. Browse the profiles on the AI & Data category page.
Where do the day rates come from?
From the profiles of each role on FreelanX: the page computes the median day rate by seniority in your browser. Rates depend on country, experience and the mission; they are a starting point for your budget, not a quote.
Is it free?
Yes. Every template is free to read and copy: no sign-up, no email, no download.