Flexible Working Hours Jobs
1,491,735 open positions · Updated daily
Flexible Working Hours positions are booming as companies prioritize results over 9‑to‑5 schedules. With remote‑first tech firms expanding, developers, data scientists, and product managers can now set their own hours while still meeting sprint deadlines. The demand for hourly‑paid, outcome‑driven work is growing, and job listings now provide exact salary ranges so candidates can compare offers instantly.
Typical roles include Software Engineer, DevOps Engineer, UX Designer, Data Analyst, and Product Manager. Responsibilities center on writing clean code, automating CI/CD pipelines, designing user flows, building predictive models, and steering product roadmaps—all while coordinating via tools like Git, JIRA, Slack, and cloud platforms (AWS, GCP, Azure). Flexible hours let teams collaborate across time zones without sacrificing delivery speed.
Salary transparency is critical because flexible‑hour workers often negotiate hourly rates, shift premiums, or project‑based fees. Knowing the exact pay for a given role—and how it scales with experience—helps professionals avoid under‑compensation and ensures that remote or part‑time arrangements remain financially viable. Transparent data also lets employers benchmark against industry standards and attract top talent.
Project Manager - IT Financial Operations
Company: IBM
Location: Heredia, CR
Posted Dec 09, 2025
This job description highlights a role at IBM CIC involving project management, business process improvement, and collaboration with cross-functional teams. It emphasizes skills like organizational abilities, communication, and technical expertise in hybrid cloud and AI initiatives, while outlining requirements such as a bachelor's degree and PMP certification.
Package Consultant-SAP HANA Master Data Governance
Company: IBM
Location: Multiple Cities
Posted Dec 09, 2025
The text describes a career in IBM Consulting focused on collaborative client relationships, innovation in hybrid cloud and AI solutions, and professional growth opportunities. It highlights roles involving SAP expertise, strategic problem-solving, and technology integration across industries.
Manager - Finance and Administration Delivery - Record to Report
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This job description outlines a career in IBM Consulting focused on global client collaboration, digital transformation, and operational excellence. Responsibilities include managing financial processes, driving innovation, and ensuring compliance while fostering team development. The role requires expertise in finance and administration with a emphasis on agile methodologies and strategic leadership.
PROCESS DELIVERY SPECIALIST-LEAD TO CASH
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This role involves collaborating with global clients to accelerate digital transformation using AI and agile methods. Responsibilities include managing Accounts Receivable processes, ensuring accuracy, and meeting SLAs. Required experience includes 24+ years in Order to Cash with expertise in cash application automation.
AI Engineer
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This job description outlines an engineering role focused on designing and maintaining build systems for AI/ML components, requiring expertise in C++/Python, automation pipelines, and cross-platform development. It emphasizes collaboration with cross-functional teams and compliance with industry standards.
Package Consultant-SAP HANA SCM PP
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This text describes a senior SAP Consultant role at IBM Consulting, emphasizing collaboration with global clients, technical expertise in SAP solutions, and opportunities for career growth through innovative projects and cross-functional teamwork.
Security Consultant - Biometrics
Company: IBM
Location: Mumbai, IN
Posted Dec 09, 2025
This job description highlights IBM Consulting's focus on innovation, client collaboration, and career growth. It emphasizes working with global clients on hybrid cloud and AI solutions, supported by IBM's technology ecosystem. The role requires technical expertise in biometrics, endpoint management, and scripting, with opportunities for professional development.
Digital Professional - CONTRACTOR CONVERSION
Company: IBM
Location: SÃO PAULO, BR
Posted Dec 09, 2025
This text describes a Web Developer role at IBM, outlining responsibilities such as creating web pages, collaborating with teams, and required technical skills. It emphasizes strategic planning, content management, and SEO while detailing educational qualifications and preferred experience.
Ingénieur Qualité (CQE)
Company: IBM
Location: BROMONT, CA
Posted Dec 09, 2025
IBM's Bromont facility offers a secure, competitive environment with benefits like flexible hours and professional development. The role involves quality management and collaboration with clients, requiring mechanical engineering expertise and bilingual skills.
PROCESS DELIVERY SPECIALIST-PROCURE TO PAY
Company: IBM
Location: Chennai, IN
Posted Dec 09, 2025
This job description highlights a career in IBM Consulting focused on digital transformation through collaboration with global clients. The role involves invoice processing, vendor management, and working with advanced technologies like AI and hybrid cloud solutions. It emphasizes career growth, mentorship, and impactful problem-solving in a supportive ecosystem.
Technical Support Professional
Company: IBM
Location: BANGALORE, IN
Posted Dec 09, 2025
This text describes a Support team role with responsibilities including customer issue resolution, product configuration guidance, and collaboration with engineering teams. It outlines required and preferred qualifications such as Linux administration, JVM knowledge, and experience with cloud platforms and databases.
Entry level AI/ML Engineer: SVL
Company: IBM
Location: San Jose, US
Posted Dec 09, 2025
This text describes a job opening for an entry-level AIML Engineer at IBM, outlining responsibilities related to LLM integration, data management, and AI best practices. It details required qualifications and preferred experience in machine learning and AI technologies.