AI training & evaluation
Data Science Specialist
micro1
In this role, you'll apply your expertise to help train next-generation AI systems.
- Compensation
- 150–350 per hour
Track this job
Employer description and requirements
Role Title: Data Science Specialist - Executive Presentation Review
Role Type: Contractor
Location: Remote (US, UK or CAN)
micro1 is engaging Data Science Specialists to contribute to a customer's project focused on elevating the quality and impact of business presentations and analytical reporting. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Scope of Work
Reconstruct, redesign, and enhance data-driven presentations using Microsoft PowerPoint to ensure clarity and visual consistency.
Create compelling visualizations that transform complex data into insights, supporting effective visual storytelling across various audiences.
Edit content for accuracy, flow, and narrative impact while maintaining high standards of written communication.
Apply advanced data analysis and statistical reasoning to interpret datasets and derive actionable conclusions for presentation materials.
Develop analytics reports that summarize key findings, trends, and recommendations with precision and attention to detail.
Critically review and refine existing slides and reports to align with best practices in data visualization and design.
Collaborate on feedback cycles to iteratively improve deliverables based on project-specific requirements.
Preferred Qualifications
Expert-level proficiency in Microsoft PowerPoint, with a strong portfolio demonstrating slide reconstruction and advanced presentation design.
Proven ability to distill and visualize complex datasets into accessible, business-oriented insights.
Experience with content editing, data storytelling, and producing analytics reports for diverse stakeholders.
Keen critical thinking skills and exceptional attention to detail in both quantitative and qualitative tasks.
Strong written communication abilities, with a track record of crafting clear, concise, and engaging narratives.
Background in data science, analytics, statistics, or a related field; prior consulting experience is a plus.
Comfort participating in remote, collaborative projects with dynamic requirements and iterative feedback.
Application screening questions
How soon can you start the work? (in days)
What is your expected hourly rate in USD?
How many hours per week are you available to work?
Have you previously worked on a m1 project?
If yes, which?
Which of these have you worked at? Select all that apply. Current or former both count.
Name the agencies, brands or firms from your answer above.
Have you personally presented analysis to a non-technical business audience?
Link to a portfolio or work samples. If you can't share client work, a personal site or public case study is fine. Select "none available" if you have nothing shareable.
Other published fields (read alongside the description):
Published hourly-rate fields: {'max': 350, 'min': 150}
Source page's structured applicant-location list: Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia