Artificial Intelligence

• Audit manual workflows across accounting, purchasing, operations, customer service, marketing, catalog management, and reporting
• Identify, prioritize, build, and implement AI-powered automations
• Automate accounting workflows, beginning with credit card reconciliation
• Consolidate data from 7–8 sources into a reporting layer
• Automate invoice reconciliation between order management software and QuickBooks
• Own and improve an AI-powered customer-support ticketing agent
• Expand the support agent’s knowledge library and tune its auto-response success rate
• Clean and maintain a product catalog containing tens of thousands of SKUs
• Build tools or AI agents for product listing creation and catalog maintenance
• Connect sales history and inventory data to improve purchasing and reorder decisions
• Develop reporting on product sales velocity and inventory reorder timing
• Support non-technical team members with AI-powered solutions and enablement
• Use AI coding assistants such as Claude Code to build and ship internal tools
• Work directly with department leads to scope and prioritize automation projects
• Determine workflows, data sources, and prompts for each solution
• Own projects end to end, including audit, development, rollout, and adoption
• Work independently with minimal oversight
• Meet with every department during the first 30 days and deliver a prioritized automation roadmap to the founder

AI Workflow Specialist

• Translate authentic Earth-science workflows into self-contained terminal-based benchmark tasks.
• Prepare and structure geospatial, climate, atmospheric, geological, hydrological, or oceanographic datasets.
• Build reproducible computational environments using scientific libraries and command-line tools.
• Develop expert reference solutions using Python, R, Bash, Julia, or domain-specific software.
• Design tasks involving geospatial analysis, time-series processing, numerical modeling, interpolation, forecasting, remote sensing, and environmental risk analysis.
• Define objective grading criteria for scientific outputs, data transformations, and spatial or temporal accuracy.
• Validate coordinate systems, units, timestamps, missing-data handling, and scientific assumptions.
• Create automated tests for numerical tolerances, file formats, metadata, and reproducibility.
• Debug issues involving projections, large datasets, dependencies, performance, and numerical stability.
• Document data provenance, expected outputs, edge cases, assumptions, and limitations.

Earth & Environmental Science Expert – AI Projects

• Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps.
• Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables.
• Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results.
• Implement reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria for scientific tasks.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
• Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments.
• Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software.
• Ensure tasks assess scientific reasoning and execution rather than memorization.
• Maintain high task quality and throughput while incorporating reviewer feedback.

Computational Biology, AI Specialist

• Build a diligence data room for seller-uploaded incorporation documents, financials, and reports
• Build notifications identifying when a data room is complete or stalling
• Build a target-analysis tool for summarizing practice financial and business information
• Support a target-identification tool for finding practice owners to approach
• Connect meeting transcripts to the priority tracker as tentative tasks
• Implement human approval before tasks are added to the tracker
• Build a live brand rollout tracker for eight to ten specialty brands
• Track brand names, logos, colour systems, websites, signage, patient-facing collateral, ad creative, owners, statuses, and launch blockers
• Build a brand asset engine generating channel-specific advertising and design creative at volume
• Include human approval before publishing brand assets
• Build REST API integrations with OAuth2, pagination, rate limits, retries, and idempotency
• Work with the outsourced IT provider to obtain system access without disrupting the environment
• Develop with Microsoft 365, Graph API, SharePoint, Power Automate, Entra ID, and permission scopes
• Use Git and CI pipelines with tests before deployment
• Write, review, and debug production Python or TypeScript code
• Design and query SQL databases and reconcile disagreeing data sources
• Build React or equivalent front ends
• Deploy cloud applications, preferably on Azure
• Build production LLM workflows with structured outputs, tool calling, document retrieval, and prompt versioning
• Process PDFs and spreadsheets at volume, using OCR and extracting financial data
• Apply secrets management and least-privilege service accounts
• Later support cash-flow forecasting and intercompany reconciliation after the FP&A platform launches

Artificial Intelligence jobs in Nigeria

AI Workflow Specialist

Earth & Environmental Science Expert – AI Projects

Computational Biology, AI Specialist

AI Forward-Deployed Engineer