Carbon Credit Analysts evaluate, quantify, and monitor greenhouse gas reduction and removal projects to determine their eligibility for carbon credits within voluntary and compliance carbon markets. They analyze data from reforestation, renewable energy, methane capture, and other offset projects, ensuring calculations align with established methodologies from bodies like Verra, Gold Standard, or regulatory frameworks. Their work involves auditing project documentation, modeling emissions baselines, and assessing the credibility and permanence of claimed carbon reductions.
| Entry level | $55,000 |
| Median | $85,000 |
| Senior | $120,000 |
| Top 10% | $160,000 |
| Job growth | +15% |
| Professionals in the USA | 0.02 million |
| Typical hours/week | 42 hrs |
| Remote work share | 45% |
| Annual job openings | 2,500/yr |
| Demand | High |
AI is increasingly used to automate data collection, satellite-based monitoring, and verification calculations within carbon markets, streamlining what was once manual analysis. However, the interpretive, regulatory, and judgment-heavy aspects of carbon credit analysis still require human expertise, especially as markets and standards evolve rapidly.
Automation exposure: Tasks like emissions data aggregation, remote sensing analysis for land-use verification, spreadsheet modeling, and basic compliance checks against methodology templates are highly automatable with AI and satellite/IoT data pipelines.
The human edge: Humans excel at navigating ambiguous or evolving regulatory frameworks, negotiating with project developers, assessing project additionality and permanence risks, and building trust with stakeholders and auditors—areas where nuanced judgment and credibility matter more than raw data processing.
Figures are estimates for exploration — verify current data with BLS.gov.