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About

Career exploration suffers from availability bias. People consider only occupations they have personally encountered, ignoring roughly 95% of the labor market. This generator draws from a curated dataset of 150+ verified occupations spanning 12 industries, each annotated with median salary, typical education requirement, and projected growth rate sourced from U.S. Bureau of Labor Statistics (BLS) methodology. Selection uses a Fisher-Yates shuffled index to guarantee uniform distribution across the pool. Filter by industry to narrow results or generate in batch mode for comparative analysis.

The tool does not predict aptitude or guarantee employment outcomes. Salary figures represent national medians and vary significantly by geography, experience, and employer. Growth outlook categories (High, Average, Declining) follow BLS 10-year projection conventions. Use results as a starting point for research, not as career advice. Pro tip: generate 5 - 10 jobs at once and compare education-to-salary ratios to identify efficient career paths.

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Formulas

Job selection uses the Fisher-Yates (Knuth) shuffle to guarantee each occupation has an equal probability of selection. For a pool of n eligible jobs, the probability of any single job being chosen is:

P(jobi) = 1n

When generating k jobs without repetition from the filtered pool, the algorithm performs k swaps from index n 1 downward, using cryptographically random indices via getRandomValues(). The total number of possible unique selections follows the permutation formula:

P(n, k) = n!(n k)!

Where P = selection probability, n = number of jobs in filtered pool, k = number of jobs requested, and jobi = any individual occupation in the dataset.

Reference Data

IndustryExample OccupationsMedian Salary RangeTypical EducationGrowth Outlook
TechnologySoftware Engineer, Data Scientist, UX Designer$65,000 - $145,000Bachelor's / Master'sHigh
HealthcareRegistered Nurse, Pharmacist, Physical Therapist$55,000 - $130,000Associate's - DoctorateHigh
FinanceFinancial Analyst, Accountant, Actuary$52,000 - $120,000Bachelor's / CPA / CFAAverage
EducationHigh School Teacher, Professor, School Counselor$40,000 - $85,000Bachelor's / Master'sAverage
EngineeringCivil Engineer, Aerospace Engineer, Chemical Engineer$68,000 - $125,000Bachelor's / Master'sAverage
Trades & LaborElectrician, Plumber, Welder$38,000 - $78,000Apprenticeship / CertificateHigh
Creative & MediaGraphic Designer, Film Editor, Copywriter$35,000 - $85,000Bachelor's / PortfolioAverage
Science & ResearchMicrobiologist, Geologist, Environmental Scientist$50,000 - $105,000Bachelor's - DoctorateAverage
LegalLawyer, Paralegal, Compliance Officer$45,000 - $160,000Bachelor's / J.D.Average
Public ServiceFirefighter, Police Officer, Social Worker$38,000 - $75,000Associate's - Master'sAverage
Hospitality & FoodChef, Hotel Manager, Event Planner$30,000 - $70,000Certificate - Bachelor'sHigh
TransportationAirline Pilot, Logistics Manager, Ship Captain$42,000 - $170,000Certificate - Bachelor'sAverage
AgricultureAgricultural Engineer, Veterinarian, Food Scientist$40,000 - $100,000Bachelor's - DoctorateAverage
GovernmentUrban Planner, Diplomat, Intelligence Analyst$50,000 - $110,000Bachelor's / Master'sAverage

Frequently Asked Questions

Selection uses the Fisher-Yates shuffle algorithm seeded by the Web Crypto API's getRandomValues(), which produces cryptographically secure pseudorandom numbers. This ensures each job in the filtered pool has exactly equal probability of selection: 1/n, where n is the pool size. Unlike Math.random(), this approach avoids modulo bias.
No. All salary ranges represent national U.S. medians derived from BLS Occupational Employment and Wage Statistics methodology. Actual compensation in high-cost metros (San Francisco, New York) may exceed the upper bound by 30-60%, while rural areas may fall 15-25% below the lower bound. Treat these as order-of-magnitude benchmarks, not offers.
Growth Outlook follows BLS 10-year projection conventions. "High" indicates projected employment growth of 8% or more over 10 years. "Average" falls between 2-7%. "Declining" indicates negative growth or under 2%. These projections account for automation risk, demographic shifts, and policy trends but cannot predict black-swan disruptions.
No. Batch generation uses sampling without replacement. The Fisher-Yates algorithm shuffles the entire filtered pool and returns the first k elements, guaranteeing no duplicates within a single batch. However, regenerating a new batch may include jobs that appeared in previous batches.
Salary dispersion correlates with credential stratification within the industry. Legal careers span from paralegal (associate's degree, ~$45,000) to senior partner (J.D. + 15 years, ~$160,000+). Trades cluster more tightly because compensation scales primarily with hours and certification level rather than hierarchical position. Transportation shows extreme range because airline pilots (ATP certificate holders) command salaries 4× higher than entry logistics roles.
The generator caps batch size at the filtered pool size. If you request 5 jobs but the filtered pool contains only 3, you receive 3 unique results and a notification. This prevents the algorithm from entering an infinite loop or returning duplicates. Broaden filters or select "All Industries" for larger batches.