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Gradient Jobs in Illinois (NOW HIRING)

66degrees

Talent Development Specialist

Chicago, IL · On-site

Support the end-to-end execution of the US Gradient program lifecycle, including hiring coordination, onboarding, training operations, capstone execution, and transition-to-delivery readiness.

66degrees

Talent Development Specialist

Chicago, IL · On-site

Support the end-to-end execution of the US Gradient program lifecycle, including hiring coordination, onboarding, training operations, capstone execution, and transition-to-delivery readiness.

Prime Staffing

Travel MRI Tech

Springfield, IL · On-site

CINE (Cerebrospinal fluid flow study), Diffusion (non-brain), Gradient Echo Imaging, Maximum intensity projection (MIP), Multiplanar reconstruction (MRP), Perfusion, Peripheral Magnetic resonance ...

Varsity Tutors

Adobe Illustrator Tutor

Skokie, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Dekalb, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

Varsity Tutors

Adobe Illustrator Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of vector graphics creation, pen tool mastery, shape building, typography, color management, gradient and pattern fills, artboard management, export settings, and print and digital ...

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All JobsGradient JobsGradient Jobs in Illinois

Gradient information

See Illinois salary details

$7

$23

$54

How much do gradient jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for gradient in Illinois is $23.11, according to ZipRecruiter salary data. Most workers in this role earn between $13.29 and $27.00 per hour, depending on experience, location, and employer.

What is the difference between Gradient vs Data Analyst?

AspectGradientData Analyst
Required CredentialsTypically requires a background in machine learning, data science, or related fields, often with programming skillsUsually requires a degree in statistics, mathematics, or business, with proficiency in Excel, SQL, and data visualization tools
Work EnvironmentPrimarily in tech companies, startups, or research labs focusing on AI and machine learning projectsCommonly in corporate, finance, healthcare, or marketing sectors analyzing business data
Employer & Industry UsageUsed in AI development, machine learning projects, and data science teamsUsed across industries for business insights, reporting, and decision-making

While both Gradient and Data Analyst roles involve working with data, Gradient focuses more on machine learning and AI development, requiring programming and technical expertise. Data Analysts primarily interpret and visualize data to support business decisions, often with less emphasis on coding. Understanding these differences helps in choosing the right career path or job search focus.

What is a gradient?

Gradient jobs typically refer to roles related to machine learning, artificial intelligence, or technology companies named 'Gradient.' In the context of machine learning, gradients are mathematical tools used in optimization algorithms, such as gradient descent, which is fundamental to training AI models. Professionals working in Gradient jobs might focus on developing, implementing, or optimizing these algorithms, or they could be employed by organizations that provide AI infrastructure or platforms, like Gradient from Paperspace. The responsibilities can range from research and development to software engineering, depending on the specific job role and employer.

What are some common challenges faced by machine learning engineers working on gradient-based optimization techniques?

Machine learning engineers focusing on gradient-based optimization often encounter challenges such as vanishing or exploding gradients, which can hinder model training, especially in deep neural networks. Debugging issues related to convergence, learning rate selection, and ensuring numerical stability are key aspects of the role. Collaboration with data scientists and researchers is essential to refine models and experiment with different optimization strategies. Staying updated with the latest advancements in algorithms and techniques also helps address these challenges effectively.

What are the key skills and qualifications needed to thrive as a machine learning engineer specializing in gradient-based optimization, and why are they important?

To thrive as a Machine Learning Engineer focused on gradient-based optimization, you need a solid background in mathematics, statistics, and computer science, often with a degree in a related field. Expertise in frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of optimization algorithms are typically required, with certifications in data science or machine learning considered valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and explain complex concepts. These skills ensure that you can design, implement, and refine machine learning models that rely on gradient-based methods for optimal performance.
What are popular job titles related to Gradient jobs in Illinois? For Gradient jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Gradient jobs in Illinois look for? The top searched job categories for Gradient jobs in Illinois are:
Gradient jobs near you
Infographic showing various Gradient job openings in Illinois as of August 2026, with employment types broken down into 48% Full Time, 47% Part Time, and 5% Contract. Highlights an 46% Physical, 1% Hybrid, and 53% Remote job distribution, with an average salary of $48,078 per year, or $23.1 per hour.

Talent Development Specialist

66degrees

Chicago, IL • On-site

Other

Re-posted 19 days ago

Job description

Overview of Role

66degrees is seeking a Talent Development Specialist to drive high-impact professional growth initiatives within our Chicago office. This role is responsible for the end-to-end lifecycle of our corporate learning programs, with a strategic emphasis on Early Career and Campus-to-Consultancy pipelines. The ideal candidate will blend sophisticated instructional design with a deep understanding of the developmental needs of emerging professionals in the technology consulting sector.

Responsibilities
  • Support the end-to-end execution of the US Gradient program lifecycle, including hiring coordination, onboarding, training operations, capstone execution, and transition-to-delivery readiness.
  • Partner closely with Talent Acquisition and business stakeholders to support campus hiring initiatives, early-career recruitment planning, interview coordination, and candidate engagement activities.
  • Coordinate and manage technical and professional learning journeys for Gradients across Cloud, Data, AI/ML, App Dev, and consulting-focused tracks.
  • Track learner progress, cohort readiness, certifications, assessments, attendance, and billability alignment throughout the program lifecycle.
  • Facilitate cohort communication, mentor coordination, scheduling, escalation tracking, and overall program operations to ensure smooth execution.
  • Support the delivery of professional development initiatives focused on consulting readiness, communication, stakeholder engagement, virtual presence, and ways of working.
  • Work with practice leaders and technical mentors to align learning plans, capstones, shadowing opportunities, and deployment readiness expectations.
  • Maintain learning documentation, LMS updates, reporting, and program tracking dashboards to provide visibility into learner progress and operational readiness.
  • Assist in improving and scaling the overall Gradient experience, onboarding structure, and capability development framework based on evolving business and delivery needs.
  • Contribute to broader learning operations and capability-building initiatives across the organization as needed.
Qualifications
  • 3-5+ years of experience in Learning & Development, Campus Recruitment, Early Career Programs, Talent Development, or Learning Operations within a consulting or technology environment.
  • Experience supporting or coordinating university hiring programs, graduate onboarding initiatives, or emerging talent development programs is strongly preferred.
  • Strong program coordination and stakeholder management skills, with the ability to manage multiple moving workstreams simultaneously.
  • Ability to support technical and professional learning initiatives for early-career technology talent.
  • Strong communication, facilitation, and organizational skills with the ability to engage cross-functional stakeholders and learner cohorts effectively.
  • Familiarity with LMS platforms, learning operations, reporting, and cohort tracking processes.
  • Comfortable working in a fast-paced, evolving consulting environment with changing business priorities and workforce needs.
  • Exposure to cloud, AI, data, or technical learning environments is a plus.
  • Bachelor's degree in Human Resources, Organizational Development, Education, Business, or a related field preferred.

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