About RankMyCareer
RankMyCareer is a data-driven career health dashboard that synthesizes employment statistics, AI disruption research, compensation data, and work-life factors into a single, actionable career health score.
We built RankMyCareer because no single tool combines BLS employment data, AI automation risk research, layoff trends, and lifestyle factors into one clear picture. Whether you're choosing a first career, considering a change, or advising someone on their path, RankMyCareer gives you the data to make informed decisions.
How the Score Works
The Career Health Score (0-100) is a weighted composite of six sub-scores. Each sub-score is normalized to a 0-100 scale where higher is better.
Based on BLS employment projections, historical employment trends, and projected annual job openings.
How resistant the occupation is to AI automation, based on task-level analysis using Felten, Eloundou, and Frey & Osborne research.
Median annual salary benchmarked against national distribution, adjusted for wage growth trends over time.
Layoff rates, separation rates, and employment volatility from JOLTS data. Lower layoffs = higher score.
Remote work potential, schedule flexibility, physical demands, stress levels, and average weekly hours.
Transferability and market demand for the occupation's key skills, including alignment with high-growth technology areas.
Data Sources
Bureau of Labor Statistics (BLS)
Occupational Employment and Wage Statistics (OEWS), Occupational Outlook Handbook (OOH), and Job Openings and Labor Turnover Survey (JOLTS). Updated annually for employment/wages and monthly for labor turnover data.
O*NET
Occupational Information Network provides detailed task lists, skill requirements, work context, and education data for each occupation. Maintained by the U.S. Department of Labor.
AI Exposure Research
AI disruption scores incorporate findings from Felten et al. (2021) AIOE scores, Eloundou et al. (2023) GPT exposure analysis, and Frey & Osborne (2017) automation probabilities.
Disclaimers
Career Health Scores are estimates based on publicly available data and academic research models. They should be used as one input among many in career decision-making.
AI disruption scores are based on current research and reflect directional trends, not definitive predictions. The actual impact of AI on specific occupations will depend on many factors including adoption rates, regulation, and economic conditions.
JOLTS layoff data is reported at the industry level, not the occupation level. We approximate occupation-level stability by mapping occupations to their primary industries.
Salary data reflects national medians and may vary significantly by geographic location, experience level, and employer.