1

Temporary Computer Science Jobs in Boston, MA (NOW HIRING)

Senior Data Analyst

Boston, MA · On-site

$93K - $117K/yr

Boston, MA 02115 Duration: 6 months temp to perm for the right person Top 3 technical Communication ... computer science, data management, or a related field required. • Minimum four (4) years of ...

New

Robot Embedded Senior Software Engineer

Reading, MA · On-site

$130K - $171K/yr

... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ... computer science or equivalent - Expert level skills with C/C++ - Experience building complex ...

Test Design Specialist

Newton, MA · On-site

$29 - $35.35/hr

Temp (12 Months) Industry: Manufacturing Compensation: $29.00-$35.35/hr Schedule: 40 Hours/Week 1st ... Bachelor's Degree in Computer Science or Electrical Engineering or Computer Engineering * 3+ years ...

New

... Computer Science/IT coursework, Semiconductor coursework, Geology, Data Science, or Sales/Marketing ... Temporary Relocation Assistance * Hands-on Professional Experience * Group Business Challenge ...

Showing results 41-60

Temporary Computer Science information

What is a temporary computer science?

Temporary computer science jobs are short-term positions in the field of computer science, often filled to meet project-based needs, seasonal workloads, or to cover for permanent staff on leave. These roles can include positions such as software developers, IT support specialists, data analysts, or research assistants working on fixed-term contracts. Temporary jobs provide valuable experience, networking opportunities, and a chance to build technical skills, which can be beneficial for students, recent graduates, or professionals seeking flexibility.

What do temporary computer science professionals do?

Temporary computer science professionals are often brought on to support ongoing projects with tight deadlines, such as software testing, bug fixing, data migration, or developing specific features. They may also assist with code reviews, documentation, or updating legacy systems. These tasks are crucial for keeping project timelines on track and ensuring the quality of deliverables. Temporary team members typically work closely with permanent staff, participating in team meetings and collaborating through agile methodologies to achieve shared objectives.

What skills and qualifications are needed to thrive as a temporary computer science professional?

To thrive as a Temporary Computer Science professional, you need a solid understanding of programming languages, algorithms, and software development principles, often demonstrated through a relevant degree or equivalent experience. Familiarity with version control systems (like Git), integrated development environments (IDEs), and possibly certifications such as CompTIA or AWS can be highly beneficial. Strong problem-solving skills, adaptability, and effective communication help you integrate quickly and contribute to diverse teams or short-term projects. These skills ensure you can deliver quality results efficiently, adapt to new environments, and support organizational technology needs on a temporary basis.

What is the difference between Temporary Computer Science vs Software Developer?

AspectTemporary Computer ScienceSoftware Developer
CredentialsTypically requires a degree in Computer Science or related fieldSame as Temporary Computer Science, often with additional certifications
Work EnvironmentTemporary, project-based roles often in various industriesFull-time or contract positions within companies or tech firms
Employer & Industry UsageUsed by staffing agencies and companies for short-term needsEmployed directly by companies or as contractors for software projects
Search & Comparison IntentPeople looking for short-term tech roles or project-based workIndividuals seeking long-term or permanent software development roles

Temporary Computer Science roles are typically short-term, project-based positions requiring a background in computer science. Software Developers often work in more permanent or long-term roles, focusing on designing, coding, and maintaining software. While both roles require similar credentials, their work environments and employment types differ significantly.

What is the easiest temporary computer science job to get?

Temporary computer science roles such as data entry, basic technical support, or entry-level QA testing are generally the easiest to obtain, often requiring minimal experience or certifications. These positions typically involve straightforward tasks like troubleshooting, testing software, or managing simple data, making them accessible for those new to the field.

What are the most commonly searched types of Computer Science jobs in Boston, MA?

The most popular types of Computer Science jobs in Boston, MA are:

What cities near Boston, MA are hiring for Temporary Computer Science jobs?

Cities near Boston, MA with the most Temporary Computer Science job openings:

Infographic showing various Temporary Computer Science job openings in Boston, MA as of September 2026, with employment types broken down into 72% Full Time, 11% Part Time, 11% Temporary, and 6% Contract. Highlights an 89% In-person, and 11% Hybrid job distribution.

Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results

Waltham, MA • On-site

Brandeis University
Colleges, Universities, and Professional Schools • 1 - 5K employees

$25 - $30/hr

Part-time

Re-posted 18 days ago


Job description

Location: Fully remote (U.S.-based applicants only, no visa sponsorships)
Division: Rabb School of Continuing Studies, Brandeis University
Type: Part-Time, 4 months, varying hours, no more than 25 hours per week
Compensation: Hourly $25-$30
Reports to: Assistant Dean of Education and Learning Innovation
Brandeis University's Rabb School of Continuing Studies is seeking a detail-oriented professional with expertise in applied AI to serve as a Micro-Credential Grader for the online asynchronous credential, Industry-Focused Prompt Engineering for ROI-Driven Results.
In this fully remote, short-term hourly position, you'll evaluate learner submissions that demonstrate practical mastery in designing, testing, and refining prompts for large language models (LLMs) to support measurable organizational objectives. This credential equips professionals with the ability to align prompt strategies with business goals, evaluate platform performance, and quantify the ROI impact of AI-driven solutions. As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning.
This role offers a unique opportunity to contribute to a cutting-edge, workforce-aligned credential that bridges AI innovation with business impact.
What You Will Do
  • Evaluate learner submissions that include prompt design portfolios, platform performance analyses, and ROI impact assessments tied to real-world business use cases.
  • Apply structured rubrics to assess mastery of skills such as LLM prompt iteration, use-case alignment, performance benchmarking, and ROI quantification.
  • Review learner reflections on prompt strategy effectiveness, ethical considerations, and organizational integration.
  • Participate in calibration exercises with fellow graders (if needed) to ensure consistency in evaluating strategic, technical, and business-oriented artifacts.
  • Maintain confidentiality and objectivity throughout the grading process.

What You Bring
  • Bachelor's degree required; Master's degree preferred in Computer Science, Data Science, Business Analytics, or related disciplines.
  • Subject-matter expertise in prompt engineering, LLM capabilities, and AI deployment for business outcomes.
  • Experience in academic assessment, workforce development, or digital learning preferred.
  • Familiarity with learning management systems (Moodle preferred), online credentialing platforms, and collaborative grading workflows.
  • Professional, learner-centered approach with a commitment to academic integrity and continuous improvement.
  • Proficient in rubric-based assessment and competency validation, especially for strategic and project-based submissions.
  • Strong attention to detail and ability to maintain consistency across diverse learner artifacts.
  • Excellent written communication skills for delivering constructive, learner-focused feedback.
  • Comfortable working in asynchronous learning environments and using digital platforms.
  • Adaptability in managing multiple grading tasks within deadlines.

Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").