Highest Paying AI Career Tier List (AI Jobs Ranked)

Summary: Highest Paying AI Career Tier List (AI Jobs Ranked)

This video ranks AI-related careers based on four criteria, each scored out of 20 points total:

• Median US Salary (from levels.fyi)
• AI Resilience (how safe the role is from automation)
• Tech Accessibility (amount of coding required)
• Barrier to Entry (difficulty of landing the job)

Jobs scoring 13 or above are considered A tier (top-tier roles), 11–12 points are B or C tier, and below 11 are D tier (entry-level or less future-proof).

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Framework & Evaluation Criteria

• Scoring system (max 20 points): salary, AI resilience, coding requirements, job competitiveness
• Roles assessed for future-proofing against AI automation and accessibility to non-coders
• Emphasis on balancing salary with job security and entry barriers

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Key AI Career Roles & Insights

A Tier (Score ≥ 13)

• Machine Learning Engineer

  • Median Salary: ~$250,000 (highest on list)
  • Role: Build AI systems at scale (e.g., Netflix recommendations, fraud detection)
  • Challenges: Extremely competitive, requires strong coding and ML expertise
  • Score: 13/20
  • Recommendation: High reward but very difficult to enter

• Security Engineer

  • Median Salary: ~$218,000
  • Role: Protect systems from cyber threats; requires creativity and adaptability as threats evolve
  • AI Resilience: High due to complexity and evolving nature of threats
  • Score: 13/20
  • Strategic value: Growing importance with AI-driven security risks

• Program Manager

  • Median Salary: ~$181,000
  • Role: Manage large initiatives/programs, strategic decision-making, balancing priorities
  • AI Resilience: High due to complex human judgment and trade-offs
  • Score: 15/20
  • Recommendation: Good for those interested in leadership and strategic roles

• Business Development

  • Median Salary: ~$190,000
  • Role: Build partnerships, drive revenue growth, requires relationship and negotiation skills
  • AI Resilience: High due to human-centric skills (trust, motivation)
  • Score: 13/20
  • Emphasis: Relationship-driven, less technical

• Developer Advocate

  • Median Salary: ~$161,000
  • Role: Bridge between company and developer community; marketing, education, community building
  • Requires: Technical understanding + people skills
  • Score: 13/20
  • Niche role with marketing and community focus

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B Tier (Score 12)

• Data Scientist

  • Median Salary: ~$170,000 (lowest in core AI group)
  • Role: Extract business insights from data, guide decisions
  • AI Resilience: Moderate; AI tools assist but human insight remains critical
  • Score: 12/20
  • Entry barrier: Moderate technical skills (Python, SQL, statistics)
  • Recommendation: Accessible path into AI careers

• System Engineer

  • Median Salary: ~$140,000
  • Role: Design and maintain complex computing systems (systems thinking)
  • AI Resilience: High due to holistic thinking AI struggles with
  • Score: 12/20
  • Importance: Expected to grow as AI systems scale

• Quality Assurance Engineer (QA)

  • Median Salary: ~$140,000
  • Role: Test software before release
  • AI Resilience: Moderate to low as AI improves bug detection
  • Score: 12/20
  • Accessibility: Easier entry, less coding-heavy

• Project Manager

  • Median Salary: ~$135,000
  • Role: Coordinate teams and deliverables
  • AI Resilience: Moderate; scheduling may be automated but human coordination remains important
  • Score: 12/20
  • Recommendation: Good stepping stone for career pivots

• User Researcher

  • Median Salary: ~$120,000
  • Role: Study user behavior and product interaction to provide insights
  • AI Resilience: High due to relationship and human insight focus
  • Score: 12/20
  • Accessibility: Less coding, easier entry

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C Tier (Score 11)

• AI Researcher

  • Median Salary: ~$168,000
  • Role: Advance AI knowledge through research and publications
  • AI Resilience: Very high (hard to automate innovation)
  • Barrier: Extremely high (PhD, research experience)
  • Score: 11/20
  • Recommendation: Excellent security but very difficult to enter

• AI Engineer

  • Median Salary: ~$163,000
  • Role: Turn AI models into usable products
  • AI Resilience: High
  • Barrier: High technical skills and competition
  • Score: 11/20

• Data Engineer

  • Median Salary: ~$155,000
  • Role: Build data infrastructure (pipelines, databases)
  • AI Resilience: Moderate; some automation possible but design and maintenance needed
  • Score: 11/20
  • Barrier: Technical coding skills required

• Prompt Engineer

  • Median Salary: ~$135,000
  • Role: Design inputs to optimize AI outputs
  • AI Resilience: Low; role may be temporary as AI improves contextual understanding
  • Score: 11/20
  • Recommendation: Short-term opportunity

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D Tier (Score < 11)

• Technical Writer
  • Median Salary: ~$126,000 (second lowest)
  • Role: Documentation, user guides
  • AI Resilience: Low; AI tools like ChatGPT can automate much of the work
  • Score: 10/20
  • Recommendation: Good entry-level role but limited long-term growth

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Actionable Recommendations

• Pursue A tier roles if you want high salary and future-proof careers, but be prepared for high competition and technical demands.
• B tier roles offer a balance of accessibility and decent pay, suitable for those transitioning into AI or preferring less technical paths.
• C tier roles are often highly technical or research-focused with high barriers to entry but strong security for those qualified.
• Consider strategic and relationship-driven roles (Program Manager, Business Development) as AI-resistant and well-paid alternatives to purely technical jobs.
• Be cautious about roles like Prompt Engineer or Technical Writer, which may be disrupted or replaced by AI advancements.

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Key Metrics & Targets

• Salary ranges: $120,000 (User Researcher) to $250,000 (Machine Learning Engineer)
• Scoring threshold for top-tier (A tier): ≥13/20
• Barrier to entry and coding requirements vary significantly, affecting job accessibility

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Presenters / Source

• The video presenter (unnamed) provides personal opinion-based rankings using data from levels.fyi and general industry knowledge.
• Encourages viewer engagement and discussion in comments.

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This summary provides a strategic overview for individuals and businesses considering AI career paths, highlighting where to focus skill development and recruitment efforts based on future-proofing and compensation.