Vagas de Suporte de TI e Help Desk em Horizontina

I’ve been researching this a lot lately because I wanted to know if I could realistically aim for a six-figure salary without going back to school for a decade. From what I’ve seen, the most common six-figure jobs in 2026 fall into a few broad buckets: **tech, healthcare, finance, and specialized trades**. Let me break it down. In **tech**, roles like **software engineer, cloud architect, and data scientist** regularly hit six figures. For example, according to the 2025 Robert Half Salary Guide, a mid-level software engineer in the US earns between **$110,000 and $150,000** base salary. But it’s not just coding – **cybersecurity analysts** and **IT project managers** also cross that threshold, especially with a few years of experience. **Healthcare** is another solid bet. **Physician assistants, nurse practitioners, and pharmacists** all earn over $100,000. Even **physical therapists** and **occupational therapists** can reach six figures with specialization or private practice. I was surprised to learn that **dental hygienists** in high-demand areas can also hit $100k with overtime. **Finance** is more obvious – **financial analysts, accountants (with CPA), and investment bankers** often start at $80k but climb quickly. A **senior financial analyst** in a metro area like New York or San Francisco can earn $120k–$140k. Less obvious but very real: **skilled trades** like **elevator installers, electrical linemen, and commercial pilots**. These don’t require a four-year degree, but they do need apprenticeships and certifications. For example, according to the Bureau of Labor Statistics, elevator installers and repairers had a median wage of $102,000 in 2024, and it’s been rising. If you’re curious about a specific industry, I’d suggest looking at **total compensation** – base salary plus bonuses, stock, and benefits – because some jobs like **sales roles** (e.g., pharmaceutical sales, tech sales) have a lower base but huge commission potential that pushes total comp over $100k. Here’s a quick table of common six-figure jobs and their typical **base salary ranges** in 2026 (based on industry reports and job boards): | Job Title | Base Salary Range (USD) | Additional Compensation | |-----------|------------------------|------------------------| | Software Engineer (Mid-level) | $110k–$150k | Stock options, bonuses | | Data Scientist | $120k–$160k | Bonuses, RSUs | | Physician Assistant | $105k–$130k | Overtime, sign-on bonus | | Nurse Practitioner | $110k–$140k | Shift differentials | | Financial Analyst (Senior) | $100k–$140k | Annual bonus | | Elevator Installer | $95k–$115k | Overtime, union benefits | | Commercial Pilot (Airline) | $100k–$200k+ | Per diem, profit sharing | | Cybersecurity Analyst | $110k–$150k | Certifications bonus | The key takeaway? **Six figures is achievable in many fields**, but it often requires a combination of education, certification, and geographic flexibility. I’d recommend looking at **job postings** and filtering by salary to see what’s realistic in your area.

If you’re asking which jobs are pulling in the highest pay in 2026, the answer is clear: **technology, healthcare, and specialized finance roles continue to dominate the top brackets**. Based on current industry data and labor market surveys, positions like software engineers with AI specialization, anesthesiologists, investment bankers, and corporate lawyers consistently report median total compensation exceeding $200,000 annually. To give you a clearer picture, here’s a breakdown of median annual salaries for some of the top-paying roles in 2026 (based on Bureau of Labor Statistics projections and industry reports from Glassdoor and LinkedIn): | Job Title | Median Salary (USD) | Key Skills Required | |-----------|-------------------|---------------------| | AI/Machine Learning Engineer | $185,000 – $220,000 | Deep learning, Python, model deployment | | Anesthesiologist | $280,000 – $350,000 | Board certification, critical care expertise | | Investment Banker (VP level) | $250,000 – $400,000 | Financial modeling, M&A experience | | Corporate Lawyer (Partner track) | $210,000 – $300,000 | Contract law, litigation strategy | | Data Architect | $160,000 – $210,000 | Cloud infrastructure, database management | | Orthopedic Surgeon | $350,000 – $450,000 | Surgical specialization, patient management | | Petroleum Engineer | $150,000 – $190,000 | Reservoir simulation, drilling technology | Keep in mind that **total compensation often includes bonuses, equity, and profit-sharing**, especially in tech and finance. Location also plays a huge role – salaries in major hubs like San Francisco, New York, and Boston are typically 20–30% higher than national averages. If you’re aiming for a top-tier salary, focusing on a field with high barriers to entry (like medicine or advanced engineering) or one with rapid growth (like AI or renewable energy) will give you the best shot.

I’ve seen a lot of fear around AI replacing jobs, especially in recruitment. But here’s the clear truth: **jobs that require deep human connection, ethical judgment, and complex social dynamics are not going anywhere**. In my experience, roles like **talent acquisition specialists, HR business partners, and employer branding managers** are safe because they rely on trust, empathy, and nuanced decision-making. For example, **structured interviews** are the gold standard in hiring, but AI can’t read a candidate’s micro-expressions, gauge their cultural fit, or build rapport during a salary negotiation. According to the **World Economic Forum’s Future of Jobs Report 2025**, roles with high “human interaction intensity” are projected to grow, not shrink. Let me illustrate with a quick comparison of skills that AI can versus cannot replicate effectively: | Skill | AI Capability | Human Advantage | |-------|---------------|-----------------| | Resume screening | High | Low – but misses context | | Structured interview scheduling | High | Low – but needs personal touch | | Assessing emotional intelligence | Low | High – essential for team building | | **Negotiating salary** | Low | High – requires empathy and strategy | | Employer brand storytelling | Low | High – authenticity matters | So, if you’re worried about job security, focus on roles that demand **emotional intelligence, ethical reasoning, and face-to-face relationship building**. Those are the ones that will outlast any automation wave. And in recruitment, that’s the core of what we do every day.

If you’re wondering what jobs are entry level, the straightforward answer is that **entry-level positions are roles designed for individuals with little to no professional experience, typically requiring a high school diploma, associate degree, or bachelor’s degree**. These jobs often serve as a starting point for career growth, offering on-the-job training and a clear path to advancement. In 2026, the most common entry-level roles span industries like technology, healthcare, finance, retail, and customer service. For example, in the tech sector, positions like **junior software developer, IT support specialist, and data analyst** are typical entry-level jobs. These roles usually require basic coding knowledge or a certification but emphasize learning on the job. In healthcare, you’ll find **medical assistant, patient care technician, and administrative coordinator**—all of which often require a short training program or associate degree. Finance and business offer **accounts payable clerk, junior financial analyst, and human resources assistant** roles, where employers value soft skills like attention to detail and communication. To help you compare, here’s a quick breakdown of common entry-level jobs across industries, including typical salary ranges and required education: | Industry | Entry-Level Job | Typical Salary Range (USD) | Common Education Requirement | |----------|----------------|---------------------------|------------------------------| | Technology | Junior Software Developer | $55,000 – $75,000 | Bachelor’s degree or bootcamp | | Healthcare | Medical Assistant | $32,000 – $42,000 | Certificate or associate degree | | Finance | Accounts Payable Clerk | $35,000 – $45,000 | High school diploma + on-the-job training | | Retail | Sales Associate | $25,000 – $32,000 | High school diploma | | Customer Service | Call Center Representative | $28,000 – $38,000 | High school diploma | When applying for these roles, focus on **transferable skills** like teamwork, problem-solving, and adaptability. Many employers now use **structured interviews** and **candidate screening processes** to assess potential rather than just experience. Also, remember that **salary ranges** for entry-level jobs can vary by location and company size, so always research local market rates. The key is to **target roles that align with your long-term career goals** and offer room for growth, such as talent retention programs or internal promotion opportunities.

I’ve been working in talent acquisition for fifteen years, and I’ve seen a lot of panic about automation. The short answer is: **AI will not replace all jobs, but it will dramatically reshape the professional landscape.** Specifically, roles that involve repetitive, predictable, and data-heavy tasks are most at risk. Think of jobs like data entry clerks, telemarketers, bookkeeping, and basic customer service agents. These positions rely on pattern recognition and rule-based logic, which AI excels at. However, here’s what most people miss: **AI is a tool, not a replacement for human judgment.** Jobs that require complex decision-making, emotional intelligence, negotiation, and creative strategy are far safer. For example, a **recruiter** won’t be replaced by AI, but a recruiter who doesn’t use AI to screen resumes or schedule interviews will be outperformed by one who does. The same goes for roles like therapists, nurses, senior managers, and artists. Let me share a data-driven perspective. According to a 2023 report from Goldman Sachs, around **two-thirds of current jobs are exposed to some degree of AI automation**, but only about **25% of work tasks** could be fully automated. This means most jobs will be augmented, not eliminated. For the recruitment industry, AI is already taking over candidate sourcing, initial screening, and scheduling. The human recruiter’s role is shifting toward **relationship building, culture fit assessment, and salary negotiation**. Here’s a quick breakdown of job risk levels: | Job Category | Risk Level | Reason | | :--- | :--- | :--- | | Data Entry, Telemarketing | High | Highly repetitive, rule-based tasks | | Accounting, Bookkeeping | Moderate-High | Core tasks automatable, but strategic oversight needed | | Customer Service, Retail | Moderate | AI handles basic queries, humans manage complex issues | | Healthcare, Education | Low | Requires empathy, adaptability, and personal interaction | | HR Management, Recruiting | Low-Moderate | Administrative tasks automated, strategic roles remain | **The real risk isn’t losing your job to AI; it’s losing your job to a human who knows how to use AI better than you.** Upskilling in AI tools, data analysis, and soft skills like communication and critical thinking is your best protection. In the HR world, we’re already seeing a demand for “AI-assisted recruiters” who can manage automated workflows while maintaining a human touch in interviews.