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MSc/Phd Data Scientists & Engineers (OIP Program)

Orcawise -
Remote

Quick apply

Job details

Part-time | Graduate | Temporary | Specified-purpose | Volunteer
12 days ago

Qualifications

Law
Doctoral degree
Google Cloud Platform
Research
Master's degree
RBAC
AWS
Technical writing
AI
Python
HTML

Full job description

OIP Program - RAIMS®
100-Day Supervised Work Experience and Training Program — MSc/PhD Graduates

Tracks: 1) EXTRACT 2) CUSTOMIZE 3) LOAD
Program: Orcawise Innovation Program (OIP)
Focus: Development of RAIMS™ (Responsible AI Management System)

About the Program

The Orcawise Innovation Program (OIP) is a 100-day research and build work experience program designed for MSc and PhD graduates looking to transition to a career in Responsible AI Management Systems (RAIMS)

If successful, you’ll join a small, high-impact cohort working on the development of RAIMS™ - the world’s first operational framework for responsible AI governance, aligned with ISO/IEC 42001 and the EU AI Act. Your work will be applied directly to the internal tooling, standards, and systems behind RAIMS.chat and the broader Orcawise ecosystem.

Tracks You Can Join:

1. EXTRACT – Data Grounding for Trust

You’ll build the trusted data layer for RAIMS:

Source legally usable knowledge (laws, standards, docs)
Ingest and process PDFs, HTML, CSVs
Chunk, tag, and store content in a structured vector database
Design gold-standard test sets and evidence-verified answers
Evaluate grounding precision and citation fidelity

Outcome: A well-indexed, evaluable RAG pipeline that powers explainable answers in RAIMS.chat.

2. CUSTOMIZE – Custom LLM, Prompt & Behavior Engineering

You’ll design and test prompt behaviors under governance constraints:

Create role-based system and user prompts with embedded metadata
Apply advanced reasoning frameworks (ReAct, Chain-of-Thought, etc.)
Implement safety refusals, guardrails, and content moderation logic
Compare in-context learning vs. fine-tuning and example stores
Optimize for accuracy, consistency, and governance traceability

Outcome: A catalog of prompts, templates, and control strategies aligned with RAIMS principles.

3. LOAD – Deploy & Govern RAIMS.chat

You’ll build the RAIMS.chat agent interface and operations layer:

Develop chat UI (persona selector, streaming, citations, feedback)
Implement agent orchestration using functions, extensions, and RAG
Log prompt metadata, cost, latency, and risk flags
Build audit-export features and RBAC/SSO login
Ensure traceability, fallback logic, and real-time observability

Outcome: A working prototype of RAIMS.chat with full governance tracking and compliance readiness.

What You’ll Do (All Tracks)

Scope and deliver a 100-day project with real-world impact
Produce a demo + governance pack (logs, risks, tests)
Track performance (accuracy, safety, latency, cost)
Document decisions, architectures, and learning outcomes
Share insights through a summary blog or lightning talk

Who We’re Looking For

Required

MSc or PhD (or near completion) in: AI, Data Science, Law+Tech, IS, HCI, Statistics, Engineering, or Policy O
Solid Python (data workflows, scripting, basic API usage)
Strong writing and documentation skills
Comfortable with experimentation, iteration, and self-direction

Nice to Have

Experience with LLMs, prompt engineering, LangChain or similar
Familiarity with RAG, embeddings, vector databases
Interest in Responsible AI, ISO 42001, or the EU AI Act
Cloud experience (GCP/AWS), front-end frameworks (for LOAD)

Program Milestones - How it Works
The OIP is running constantly with daily training sessions and work experience schedules. Join the community and log into the daily track sessions where you will be expected to hit the ground running for a demanding work experience.

What You’ll Gain

OIP Verified - Certificate of Completion verifying 100-days work experience
RAIMS® Certified: AI Systems Architect
Experience designing responsible AI systems in production
Deep understanding of RAIMS™, ISO 42001, and regulatory-aligned prompt engineering
Daily mentorship from Orcawise engineers, governance leads, and researchers
A real-world project you can showcase as part of your portfolio or thesis
Public credit (optional) for your contribution via blog/talk/demo

Application question(s):

Can you commit a minimum of 20-hours per week to a 100-day work experience program focused on RAIM® (Responsible AI Management System) ?

Education:

Master's (preferred)

Work Location: Remote

Quick apply

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it project jobs in remote

MSc/Phd Data Scientists & Engineers (OIP Program)

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