AI CAREERS

9 June 2025

 AI Careers

(Salary ranges, career paths - to be added)

1.    Job Title: AI Prompt Engineer

Overview:
As an AI Prompt Engineer, you will design, test, and refine prompts to improve the performance of AI language models. This role sits at the intersection of software engineering, linguistics, and user experience.

Key Responsibilities:

• Craft and iterate on high-quality prompts for AI models.
• Analyse model outputs to refine instructions.
• Collaborate with developers and product teams to implement prompt-based solutions.

Required Skills:

• Strong communication and analytical thinking.
• Familiarity with LLM behaviour (e.g., GPT-4, Claude).
• Basic programming knowledge (e.g., Python, APIs).

 

2.    Job Title: AI Developer Advocate

Overview:
The AI Developer Advocate bridges the gap between AI tool creators and the developer community. You’ll help others build smarter tools with AI by writing content, hosting tutorials, and gathering feedback.

Key Responsibilities:

• Educate developers on how to integrate AI tools.
• Create demos, sample code, and blog posts.
• Represent the company at meetups and conferences.

Required Skills:

• Strong public speaking and writing skills.
• Deep understanding of developer workflows.
• Experience with modern AI libraries and APIs.

 

3.    Job Title: AI Integration Engineer

Overview:
This role focuses on embedding AI tools into existing business systems. As an AI Integration Engineer, you’ll ensure smooth, secure, and scalable implementation of AI functionalities in real-world applications.

Key Responsibilities:

• Integrate APIs from AI providers into enterprise apps.
• Monitor performance and error handling.
• Collaborate with cross-functional teams to improve system architecture.

Required Skills:

• Backend software development (Python, Java, Node.js).
• Understanding of API protocols and data handling.
• Cloud deployment and version control systems.

 

4.    Job Title: AI Solutions Designer

Overview:
As an AI Solutions Designer, you’ll map business problems to AI use cases and design human-in-the-loop workflows. You combine technical acumen with strategic thinking.

Key Responsibilities:

• Work with clients to scope AI projects.
• Design system architecture and user journeys.
• Define evaluation metrics and testing scenarios.

Required Skills:

• UX/UI awareness.
• Strategic consulting or product design experience.
• High-level understanding of AI capabilities.

 

5.    Job Title: AI Test & QA Analyst

Overview:
This role ensures AI tools work reliably and ethically. You'll test systems for accuracy, fairness, and performance across different scenarios.

Key Responsibilities:

• Test prompt reliability and LLM outputs.
• Conduct edge-case scenario analysis.
• Build test suites and simulate user inputs.

Required Skills:

• QA methodologies.
• Familiarity with prompt tuning and LLM limits.
• Documentation and reporting skills.

 

6.    Job Title: AI Technical Writer

Overview:
You translate complex AI systems into clear, useful documentation. You’ll work alongside developers and product teams to produce user guides, API docs, and onboarding material.

Key Responsibilities:

• Write and maintain technical documentation.
• Organise help centres and chatbot documentation.
• Ensure clarity, consistency, and accuracy.

Required Skills:

• Strong writing and editing skills.
• Technical background or ability to grasp complex systems.
• Familiarity with markdown, API tooling, and diagrams.

 

Update

Updated Job Descriptions for Emerging AI Roles in 2025

(Post-Prompt Engineering Era - prompt engineering was a stepping Stone in to AI. A couple of years ago, but now anyone who can type is expected to be able to write prompts, it's been operationalized, has become just a part of our daily lives, whether you are an office worker or an individual)

7. Job Title: AI Trainer

Overview:

An AI Trainer develops, tests and refines AI behaviour, ensuring natural, useful, and contextually appropriate responses in conversation-based systems. You’ll play a critical role in improving chatbot understanding, tone, and alignment with user intent.

Key Responsibilities:

Design realistic and varied user interaction scenarios.

Fine-tune chatbot behaviour based on user feedback and performance logs.

Create annotated datasets to improve model alignment.

Collaborate with data scientists and NLP engineers to deploy updated models.

Required Skills:

Linguistic awareness and UX sensitivity.

Familiarity with AI training pipelines and prompt tuning.

Ability to detect bias, hallucinations, or misalignment in model outputs.

Ideal Background:

Former content creators, UX writers, linguists, or prompt engineers transitioning to model behaviour design.

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8. Job Title: AI Data Specialist

Overview:

The AI Data Specialist ensures AI models are trained on clean, relevant, and well-structured data. You will be responsible for preparing datasets, enforcing data governance, and continuously auditing data pipelines for quality.

Key Responsibilities:

Clean and structure large datasets for model consumption.

Detect anomalies, duplicates, or corrupted entries in training sets.

Collaborate with AI trainers and engineers to ensure data quality and relevance.

Maintain documentation and lineage tracking for data assets.

Required Skills:

Experience with SQL, Python (Pandas), and data labelling tools.

Understanding of machine learning model data needs.

Strong attention to detail, with an eye for statistical anomalies.

Ideal Background:

Data analysts or engineers pivoting into AI infrastructure support.

9. Job Title: AI Security Specialist

Overview:

As an AI Security Specialist, you’ll safeguard AI systems from evolving threats such as prompt injection, data poisoning, and adversarial attacks. You will work at the cutting edge of cybersecurity and machine learning.

Key Responsibilities:

Conduct vulnerability assessments on AI systems.

Design defences against prompt manipulation and misuse.

Ensure safe deployment of models within enterprise environments.

Monitor for suspicious access, misuse patterns, and insider threats.

Required Skills:

Strong grounding in cybersecurity principles and threat modelling.

Familiarity with LLM architecture, sandboxing, and red teaming techniques.

Knowledge of privacy-preserving AI techniques (e.g. differential privacy).

Ideal Background:

Cybersecurity professionals with interest in emerging AI threats; or ML engineers upskilling in security.

 

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WE ARE DOOMED (WW3)

5 June 2025

The CIA organise the bombing of a strategically, important russian airports. They are focused on breaking up Russia and collateral consequences are out of their scope....that's what POTUS does - but if he won't attend the daily briefings, what is he to know about what's going on? However you look at this, Donald Trump is responsible (and responsible for escalation) and where is Tulsi Gabbard - she is Director of National Intelligence (DNI)? Her responsibilities:

- Oversight of Intelligence Agencies: Gabbard oversees all 18 U.S. intelligence agencies, including the CIA, NSA, and FBI, coordinating their activities to ensure national security

- Principal Intelligence Advisor: She serves as the primary intelligence advisor to the President, the National Security Council, and the Homeland Security Council, providing assessments on global threats and intelligence matters 

- Reforming Intelligence Practices: Gabbard has emphasised the need to depoliticise the intelligence community, aiming to restore public trust and ensure that intelligence operations are conducted without bias...ha ha!

- But the DNI is part of the executive branch, so this is internal oversight, not fully independent.

The whole thing is out of control, and this is what is so frightening. The UN can do its worst, but will just get swatted away. 

There will be a reality check at some point (defeat for the Western powers seems the likely eventual outcome, but why did it do they so confidently persist?). 

It is likely that there will be a military alliance with China, things could reach the top rung if not, 

but it would be so much better if the people could step in first.

For a taste of what's to come, see the Rand Corporation's strategic thinking from 2019, RR_3063, available on the internet. Noone's going to read 200 pages. But there is a chapter specifically on a dozen or so measures to what they call "extend" Russia.

Here is what the people rely on for insuring peace and safety in foreign policy:

1. Congressional Oversight

a. Senate Select Committee on Intelligence (SSCI)

b. House Permanent Select Committee on Intelligence (HPSCI)

These bipartisan bodies are legally empowered to review budgets, operations, and abuses.

They receive classified briefings, hold hearings, and issue reports.

However, they often face delays or restrictions on access and may lack technical expertise.

2. The Executive Branch Inspectors General

Each agency has an Inspector General (IG) – a watchdog office that can audit and investigate misconduct.

The Intelligence Community Inspector General (ICIG) handles issues across agencies.

IGs are supposed to be independent, but they report to agency heads, and have been fired or sidelined in controversial cases.

3. The President and National Security Council (NSC)

The President sets intelligence priorities and can restrain or unleash the agencies.

The NSC (chaired by the President) integrates intelligence into policy decisions.

In practice, the President may use or abuse this power to shield allies or target opponents.

4. The Courts: Limited Role

The Foreign Intelligence Surveillance Court (FISC) approves surveillance requests on U.S. citizens.

It operates in secret, and critics argue it is too compliant (approving over 99% of government requests).

The Supreme Court and federal judiciary can step in when intelligence operations violate laws, but this is rare and reactive.

5. The Press and Whistleblowers

Investigative journalism (e.g. Snowden leaks, CIA torture) plays a crucial external accountability role.

Whistleblowers within the agencies can report abuse, but face legal and professional risks, especially under the Espionage Act.

6. Civil Society and Academia

NGOs (e.g. ACLU, EFF) and university research analyse surveillance trends and push for reform.

They can lobby Congress, sue the government, and raise public awareness, but have no formal authority.

*Conclusion*

The U.S. intelligence community is checked by a patchwork of oversight mechanisms, none of which is fully independent or consistently effective. Power is concentrated in the executive, and accountability often depends on internal discipline, whistleblowers, and public pressure. As DNI, Tulsi Gabbard sits atop this system, but she’s also part of it.

I'm not sure what ended the Vietnam war. I think it was just defeat, although there were lots of public protests. I don't think these had any effect.

We are doomed.

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